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JMLR
2002
106views more  JMLR 2002»
13 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
IJISTA
2008
139views more  IJISTA 2008»
13 years 10 months ago
Spherical light field rendering in application for analysis by synthesis
Abstract: This paper presents a novel approach for object classification and pose estimation which employs spherical light field rendering to generate virtual views based on synthe...
Severin Todt, Matthias Langer, Christof Rezk-Salam...
CVPR
2006
IEEE
15 years 2 days ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
MTA
2002
190views more  MTA 2002»
13 years 9 months ago
Model-Based Video Classification toward Hierarchical Representation, Indexing and Access
Abstract. In this paper, we develop a content-based video classification approach to support semantic categorization, high-dimensional indexing and multi-level access. Our contribu...
Jianping Fan, Xingquan Zhu, Mohand-Said Hacid, Ahm...
CVPR
2007
IEEE
15 years 2 days ago
Spatio-temporal Shape and Flow Correlation for Action Recognition
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been autom...
Yan Ke, Rahul Sukthankar, Martial Hebert