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CVPR
2005
IEEE
16 years 5 months ago
Coupled Kernel-Based Subspace Learning
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
Shuicheng Yan, Dong Xu, Lei Zhang, Benyu Zhang, Ho...
155
Voted
SSPR
2010
Springer
15 years 2 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
128
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RT
2004
Springer
15 years 9 months ago
All-Frequency Relighting of Non-Diffuse Objects using Separable BRDF Approximation
This paper presents a technique, based on pre-computed light transport and separable BRDF approximation, for interactive rendering of non-diffuse objects under all-frequency envir...
Rui Wang 0003, John Tran, David P. Luebke
ICASSP
2009
IEEE
15 years 10 months ago
Mutual information based channel selection for speaker diarization of meetings data
In the meeting case scenario, audio is often recorded using Multiple Distance Microphones (MDM) in a non-intrusive manner. Typically a beamforming is performed in order to obtain ...
Deepu Vijayasenan, Fabio Valente, Hervé Bou...
162
Voted
CVPR
2000
IEEE
15 years 7 months ago
Statistical Shape Influence in Geodesic Active Contours
A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability di...
Michael E. Leventon, W. Eric L. Grimson, Olivier D...