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» Support Vector Machines for 3D Shape Processing
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NIPS
2007
14 years 11 months ago
Bundle Methods for Machine Learning
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
ECTEL
2006
Springer
15 years 1 months ago
Technology Appropriation in Face-to-Face Collaborative Learning
Studies in computer supported collaborative learning frequently under-expose the interaction between students and technology. To gain more insight in the way student groups interac...
Maarten Overdijk, Wouter van Diggelen
PCM
2004
Springer
197views Multimedia» more  PCM 2004»
15 years 3 months ago
Face Samples Re-lighting for Detection Based on the Harmonic Images
Different environment illumination has a great impact on face detection. In this paper, we present a solution by the face relighting based on the harmonic images. The basic idea i...
Jie Chen, Yuemin Li, Laiyun Qing, Baocai Yin, Wen ...
ICML
2008
IEEE
15 years 10 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
ROMAN
2007
IEEE
176views Robotics» more  ROMAN 2007»
15 years 4 months ago
Action Recognition and Understanding using Motor Primitives
— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative suppor...
Ville Kyrki, Isabel Serrano Vicente, Danica Kragic...