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ECCV
2008
Springer
15 years 25 days ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
CIDM
2007
IEEE
13 years 11 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
ISBI
2008
IEEE
14 years 11 months ago
Multiresolution identification of germ layer components in teratomas derived from human and nonhuman primate embryonic stem cell
We propose a system for identification of germ layer components in teratomas derived from human and nonhuman primate embryonic stem cells. Tissue regeneration and repair, drug tes...
Amina Chebira, John A. Ozolek, Carlos A. Castro, W...
ICCV
2005
IEEE
15 years 26 days ago
Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching
We propose a novel method for identifying road vehicles between two non-overlapping cameras. The problem is formulated as a same-different classification problem: probability of t...
Ying Shan, Harpreet S. Sawhney, Rakesh Kumar
TMM
2002
104views more  TMM 2002»
13 years 10 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...