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ICCV
2005
IEEE
16 years 8 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ACL
2010
15 years 4 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson
174
Voted
COR
2007
183views more  COR 2007»
15 years 6 months ago
Arcs-states models for the vehicle routing problem with time windows and related problems
This paper presents several Arcs-States models that can be applied to numerous vehicle routing problems, one of which is the well-known vehicle routing problem with capacities and...
Thierry Mautor, Edith Naudin
SBACPAD
2008
IEEE
170views Hardware» more  SBACPAD 2008»
16 years 29 days ago
Using Analytical Models to Efficiently Explore Hardware Transactional Memory and Multi-Core Co-Design
Transactional memory is emerging as a parallel programming paradigm for multi-core processors. Despite the recent interest in transactional memory, there has been no study to char...
James Poe, Chang-Burm Cho, Tao Li
ICIG
2009
IEEE
15 years 4 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa