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» Evaluating Adaptive Problem Selection
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BMCBI
2006
161views more  BMCBI 2006»
15 years 3 months ago
A novel approach to phylogenetic tree construction using stochastic optimization and clustering
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
Ling Qin, Yixin Chen, Yi Pan, Ling Chen
169
Voted
IPPS
2003
IEEE
15 years 9 months ago
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Component-based models represent a dominant trend in the construction of wide-area network applications, making possible the integration of diverse functionality contained in modu...
Tatiana Kichkaylo, Anca-Andreea Ivan, Vijay Karamc...
132
Voted
ICCV
2009
IEEE
16 years 8 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
CVPR
2005
IEEE
16 years 5 months ago
Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers
This paper presents a decentralized approach to multiple target tracking. The novelty of this approach lies in the use of a set of autonomous while collaborative trackers to overc...
Ting Yu, Ying Wu
126
Voted
CVPR
2007
IEEE
16 years 5 months ago
Principal Curvature-Based Region Detector for Object Recognition
This paper presents a new structure-based interest region detector called Principal Curvature-Based Regions (PCBR) which we use for object class recognition. The PCBR interest ope...
Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas ...