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» Probabilistic Classifiers and the Concepts They Recognize
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PAMI
2012
11 years 10 months ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos
CSB
2002
IEEE
109views Bioinformatics» more  CSB 2002»
14 years 17 days ago
Towards Automatic Clustering of Protein Sequences
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
Jiong Yang, Wei Wang 0010
BMCBI
2005
121views more  BMCBI 2005»
13 years 7 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
ACCV
2009
Springer
14 years 2 months ago
Human Action Recognition Using Spatio-temporal Classification
In this paper a framework “Temporal-Vector Trajectory Learning” (TVTL) for human action recognition is proposed. In this framework, the major concept is that we would like to a...
Chin-Hsien Fang, Ju-Chin Chen, Chien-Chung Tseng, ...
CN
2010
109views more  CN 2010»
13 years 7 months ago
A taxonomy of biologically inspired research in computer networking
The natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-org...
Michael Meisel, Vasileios Pappas, Lixia Zhang