Header logo is


2001


no image
Atomic defects in FeCo: Stabilization of the B2 structure by magnetism

Neumayer, M., Fähnle, M.

{Physical Review B}, 64(13), 2001 (article)

mms

[BibTex]

2001


[BibTex]


no image
Hydrogen desorption property of mechanically prepared nanostructured graphite

Orimo, S., Matsushima, T., Fujii, H., Fukunaga, T., Majer, G.

{Journal of Applied Physics}, 90(3):1545-1549, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Positron annihilation in stable and supercooled metallic melts

Seeger, A., Siegle, A., Stoll, H.

{Zeitschrift f\"ur Metallkunde}, 92(7):632-644, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Structural vacancies in B2 CoAl and NiAl

Meyer, B., Bester, G., Fähnle, M.

{Scripta Materialia}, 44(10):2485-2488, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Nonlinear magnetoelastic effects in ultrathin epitaxial FCC Co(001) films: an ab initio study

Komelj, M., Fähnle, M.

{Journal of Magnetism and Magnetic Materials}, 224(1):L1-L4, 2001 (article)

mms

[BibTex]

[BibTex]


no image
X-ray magnetic circular dichroism - a universal tool for magnetic investigations

Goering, E., Will, J., Geissler, J., Justen, M., Weigand, F., Schütz, G.

{Journal of Alloys and Compounds}, 328, pages: 14-19, 2001 (article)

mms

DOI [BibTex]

DOI [BibTex]


no image
A full field transmission X-ray microscope as a tool for high-resolution magnetic imaging

Denbeaux, G., Fischer, P., Kusinski, G., Le Gros, M., Pearson, A., Attwood, D.

{IEEE Transactions on Magnetics}, 37, pages: 2764-2766, 2001 (article)

mms

[BibTex]

[BibTex]


no image
The six-jump diffusion cycles in B2-compounds

Drautz, R., Meyer, B., Fähnle, M.

{Defect and Diffusion Forum}, 194-199, pages: 417-422, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Atomic defects and electronic structure of B2FeAl, CoAl and NiAl

Fähnle, M., Meyer, B., Bester, G., Majer, J., Börnsen, N.

{Defect and Diffusion Forum}, 194-199, pages: 279-285, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Fast learning of biomimetic oculomotor control with nonparametric regression networks (in Japanese)

Shibata, T., Schaal, S.

Journal of the Robotics Society of Japan, 19(4):468-479, 2001, clmc (article)

am

[BibTex]

[BibTex]


no image
Bouncing a ball: Tuning into dynamic stability

Sternad, D., Duarte, M., Katsumata, H., Schaal, S.

Journal of Experimental Psychology: Human Perception and Performance, 27(5):1163-1184, 2001, clmc (article)

Abstract
Rhythmically bouncing a ball with a racket was investigated and modeled with a nonlinear map. Model analyses provided a variable defining a dynamically stable solution that obviates computationally expensive corrections. Three experiments evaluated whether dynamic stability is optimized and what perceptual support is necessary for stable behavior. Two hypotheses were tested: (a) Performance is stable if racket acceleration is negative at impact, and (b) variability is lowest at an impact acceleration between -4 and -1 m/s2. In Experiment 1 participants performed the task, eyes open or closed, bouncing a ball confined to a 1-dimensional trajectory. Experiment 2 eliminated constraints on racket and ball trajectory. Experiment 3 excluded visual or haptic information. Movements were performed with negative racket accelerations in the range of highest stability. Performance with eyes closed was more variable, leaving acceleration unaffected. With haptic information, performance was more stable than with visual information alone.

am

[BibTex]

[BibTex]


no image
Wing transmission for a micromechanical flying insect

Yan, J., Avadhanula, S., Birch, J., Dickinson, M., Sitti, M., Su, T., Fearing, R.

Journal of Micromechatronics, 1(3):221-237, Brill, 2001 (article)

pi

[BibTex]

[BibTex]


no image
Spontaneous L12 order at Ni90Al10(110) surfaces: An X-ray and first-principles-calculation study

Drautz, R., Reichert, H., Fähnle, M., Dosch, H., Sanchez, J. M.

{Physical Review Letters}, 87(23), 2001 (article)

mms

[BibTex]

[BibTex]


no image
Magnetic viscosity and demagnetization behaviour in isotropic nanocrystalline Pr12Fe82B6 ribbons

Zhang, H. W., Zhang, S. Y., Shen, B. G., Goll, D., Kronmüller, H.

{Chinese Physics}, 10(12):1169-1171, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Strain relaxation and internal friction in the range of the glass transition

Ege, M., Ulfert, W., Kronmüller, H.

{Zeitschrift f\"ur Metallkunde}, 92(7):690-694, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Hardness-depth profiling on nanometer scale

Kunert, M., Baretzky, B., Baker, S. P., Mittemeijer, E. J.

{Metallurgical and Materials Transactions A-Physical Metallurgy and Materials Science}, 32(5):1201-1209, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Compound formation and abrasion resistance of ion-implanted Ti6Al4V

Schmidt, H., Schminke, A., Schmiedgen, M., Baretzky, B.

{Acta Materialia}, 49(3):487-495, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Influence of vortex-vortex interaction on critical currents across low-angle grain boundaries in YBa2Cu3O7-δthin films

Albrecht, J., Leonhardt, S., Kronmüller, H.

{Physical Review B}, 63, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Structure of superconducting [BaCuOx]2/[CaCuO2]n superlattices on SrTiO3(001) investigated by x-ray scattering

Aruta, C., Zegenhagen, J., Cowie, B., Balestrino, G., Pasquini, G., Medaglia, P. G., Ricci, F., Luebbert, D., Baumbach, T., Riedo, E., Ortega, L., Kremer, R., Albrecht, J.

{Physica Status Solidi (A)}, 183, pages: 353-364, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Transmission X-ray microscopy using X-MCD

Eimüller, T., Fischer, P., Köhler, M., Scholz, M., Guttmann, P., Denbeaux, G., Glück, S., Bayreuther, G., Schmahl, G., Attwood, D., Schütz, G.

{Applied Physics A}, 73, pages: 697-701, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Soft X-ray microscopy to 25 nm with applications to biology and magnetic materials

Denbeaux, G., Anderson, E., Chao, W., Eimüller, T., Johnson, L., Köhler, M., Larabell, C., Legros, M., Fischer, P., Pearson, A., Schütz, G., Yager, D., Attwood, D.

{Nuclear Instruments and Methods in Physics Research A}, 467-468, pages: 841-844, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Study of in-plane magnetic domains with magnetic transmission X-ray microscopy

Fischer, P., Eimüller, T., Schütz, G., Köhler, M., Bayreuther, G., Denbeaux, G., Attwood, D.

{Journal of Applied Physics}, 89, pages: 7159-7161, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Influence of vortex-vortex interaction on critical currents across low-angle grain boundaries in YBa2Cu3O7-δthin films

Albrecht, J., Leonhardt, S., Kronmüller, H.

{Physical Review B}, 63, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Non-symmetric influences in the total electron yield X-ray magnetic circular dichroism signal in applied magnetic fields

Goering, E., Gold, S., Bayer, A., Schütz, G.

{Journal of Synchrotron Radiation}, 8, pages: 434-436, 2001 (article)

mms

DOI [BibTex]

DOI [BibTex]


no image
Effect of Ga substitution on the magnetocrystalline anisotropy of arc-melted Sm2Co17-xGax (x\textequals5,6) compounds

Liang, B., Kleinschroth, I., Kronmüller, H.

{Journal of Applied Physics}, 89(1):488-491, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Biomimetic oculomotor control

Shibata, T., Vijayakumar, S., Conradt, J., Schaal, S.

Adaptive Behavior, 9(3/4):189-207, 2001, clmc (article)

Abstract
Oculomotor control in a humanoid robot faces similar problems as biological oculomotor systems, i.e., capturing targets accurately on a very narrow fovea, dealing with large delays in the control system, the stabilization of gaze in face of unknown perturbations of the body, selective attention, and the complexity of stereo vision. In this paper, we suggest control circuits to realize three of the most basic oculomotor behaviors and their integration - the vestibulo-ocular and optokinetic reflex (VOR-OKR) for gaze stabilization, smooth pursuit for tracking moving objects, and saccades for overt visual attention. Each of these behaviors and the mechanism for their integration was derived with inspiration from computational theories as well as behavioral and physiological data in neuroscience. Our implementations on a humanoid robot demonstrate good performance of the oculomotor behaviors, which proves to be a viable strategy to explore novel control mechanisms for humanoid robotics. Conversely, insights gained from our models have been able to directly influence views and provide new directions for computational neuroscience research.

am

link (url) [BibTex]

link (url) [BibTex]


no image
Irradiation-induced electron tunnelling and small-polaron hopping in single-crystalline YIG

Walz, F., Brabers, J. H. V. J., Torres, L., Kronmüller, H.

{Physica Status Solidi B-Basic Research}, 228(3):717-730, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Kernspinresonanzuntersuchungen zur Diffusion von Wasserstoff in den Di- und Trihydriden der Übergangsmetalle

Gottwald, J.

Universität Stuttgart, Stuttgart, 2001 (phdthesis)

mms

[BibTex]


no image
Hexagonally ordered 100 nm period nickel nanowire arrays

Nielsch, K., Wehrspohn, R. B., Barthel, J., Kirschner, J., Gösele, U., Fischer, S. F., Kronmüller, H.

{Applied Physics Letters}, 79(9):1360-1362, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Magnetization processes in isotropic and textured Nd2Fe14B- films

Melsheimer, A., Kronmüller, H.

{Physica B}, 299(3-4):251-259, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Critical magnetic properties of disordered Cr-rich FeCr alloys

Fischer, S. F., Kaul, S. N., Kronmüller, H.

{Journal of Magnetism and Magnetic Materials}, 226(Sp. Iss. SI):540-541, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Fast ab initio methods for the calculation of adiabatic spin wave spectra in complex systems

Grotheer, O., Ederer, C., Fähnle, M.

{Physical Review B}, 63(10):100401-100401, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Hydrogen storage in sonicated carbon materials

Hirscher, M., Becher, M., Haluska, M., Dettlaff-Weglikowska, U., Quintel, A., Duesberg, G. S., Choi, Y. M., Downes, P., Hulman, M., Roth, S., Stepanek, I., Bernier, P.

{Applied Physics A-Materials Science \& Processing}, 72(2):129-132, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Co(NH3)2Cl2 and Co(ND3)2Cl2: Order-Disorder Behaviour of N(H,D)3 and Antiferromagnetic Structure

Leineweber, A., Jacobs, H., E\ssmann, P., Allenspach, F., Fauth, F., Fischer, P.

{Zeitschrift f\"ur Anorganische und Allgemeine Chemie}, 627, pages: 2063-2069, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Critical magnetic properties of disordered polycrystalline Fe75Fe25 and Cr70Fe30 alloys

Fischer, S. F., Kaul, S. N., Kronmüller, H.

{Physical Review B}, 65, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Diffusion of 23Na and 35K in the eutectic melt Na0.32K0.69

Feinauer, A., Majer, G.

{Physical Review B}, 64, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Influence of nanocrystallization on the evolution of domain patterns and the magnetoimpedance effect in amorphous Fe73.5Cu1Nb3Si13.5B9 ribbons

Guo, H. Q., Kronmüller, H., Dragon, T., Cheng, Z. H., Shen, B. G.

{Journal of Applied Physics}, 89(1):514-520, 2001 (article)

mms

[BibTex]

[BibTex]


no image
Ab-initio statistical mechanics for the phase diagram of NiAl including the effect of vacancies

Lechermann, F., Fähnle, M.

{Physica Status Solidi (B)}, 224, pages: R4-R6, 2001 (article)

mms

[BibTex]

[BibTex]

1997


no image
Comparing support vector machines with Gaussian kernels to radial basis function classifiers

Schölkopf, B., Sung, K., Burges, C., Girosi, F., Niyogi, P., Poggio, T., Vapnik, V.

IEEE Transactions on Signal Processing, 45(11):2758-2765, November 1997 (article)

Abstract
The support vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special cases. In the RBF case, the SV algorithm automatically determines centers, weights, and threshold that minimize an upper bound on the expected test error. The present study is devoted to an experimental comparison of these machines with a classical approach, where the centers are determined by X-means clustering, and the weights are computed using error backpropagation. We consider three machines, namely, a classical RBF machine, an SV machine with Gaussian kernel, and a hybrid system with the centers determined by the SV method and the weights trained by error backpropagation. Our results show that on the United States postal service database of handwritten digits, the SV machine achieves the highest recognition accuracy, followed by the hybrid system. The SV approach is thus not only theoretically well-founded but also superior in a practical application.

ei

Web DOI [BibTex]

1997


Web DOI [BibTex]


no image
ATM-dependent telomere loss in aging human diploid fibroblasts and DNA damage lead to the post-translational activation of p53 protein involving poly(ADP-ribose) polymerase.

Vaziri, H., MD, .., RC, .., Davison, T., YS, .., CH, .., GG, .., Benchimol, S.

The European Molecular Biology Organization Journal, 16(19):6018-6033, 1997 (article)

ei

Web [BibTex]

Web [BibTex]


Thumb xl yasersmile
Recognizing facial expressions in image sequences using local parameterized models of image motion

Black, M. J., Yacoob, Y.

Int. Journal of Computer Vision, 25(1):23-48, 1997 (article)

Abstract
This paper explores the use of local parametrized models of image motion for recovering and recognizing the non-rigid and articulated motion of human faces. Parametric flow models (for example affine) are popular for estimating motion in rigid scenes. We observe that within local regions in space and time, such models not only accurately model non-rigid facial motions but also provide a concise description of the motion in terms of a small number of parameters. These parameters are intuitively related to the motion of facial features during facial expressions and we show how expressions such as anger, happiness, surprise, fear, disgust, and sadness can be recognized from the local parametric motions in the presence of significant head motion. The motion tracking and expression recognition approach performed with high accuracy in extensive laboratory experiments involving 40 subjects as well as in television and movie sequences.

ps

pdf pdf from publisher abstract video [BibTex]


no image
Locally weighted learning

Atkeson, C. G., Moore, A. W., Schaal, S.

Artificial Intelligence Review, 11(1-5):11-73, 1997, clmc (article)

Abstract
This paper surveys locally weighted learning, a form of lazy learning and memory-based learning, and focuses on locally weighted linear regression. The survey discusses distance functions, smoothing parameters, weighting functions, local model structures, regularization of the estimates and bias, assessing predictions, handling noisy data and outliers, improving the quality of predictions by tuning fit parameters, interference between old and new data, implementing locally weighted learning efficiently, and applications of locally weighted learning. A companion paper surveys how locally weighted learning can be used in robot learning and control. Keywords: locally weighted regression, LOESS, LWR, lazy learning, memory-based learning, least commitment learning, distance functions, smoothing parameters, weighting functions, global tuning, local tuning, interference.

am

link (url) [BibTex]

link (url) [BibTex]


no image
Locally weighted learning for control

Atkeson, C. G., Moore, A. W., Schaal, S.

Artificial Intelligence Review, 11(1-5):75-113, 1997, clmc (article)

Abstract
Lazy learning methods provide useful representations and training algorithms for learning about complex phenomena during autonomous adaptive control of complex systems. This paper surveys ways in which locally weighted learning, a type of lazy learning, has been applied by us to control tasks. We explain various forms that control tasks can take, and how this affects the choice of learning paradigm. The discussion section explores the interesting impact that explicitly remembering all previous experiences has on the problem of learning to control. Keywords: locally weighted regression, LOESS, LWR, lazy learning, memory-based learning, least commitment learning, forward models, inverse models, linear quadratic regulation (LQR), shifting setpoint algorithm, dynamic programming.

am

link (url) [BibTex]

link (url) [BibTex]