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EMMCVPR
2005
Springer
16 years 3 days ago
Deformable-Model Based Textured Object Segmentation
Abstract. In this paper, we present a deformable-model based solution for segmenting objects with complex texture patterns of all scales. The external image forces in traditional d...
Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris N. M...
JMLR
2010
129views more  JMLR 2010»
15 years 1 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
AAAI
2000
15 years 8 months ago
Deliberation in Equilibrium: Bargaining in Computationally Complex Problems
We develop a normative theory of interaction-negotiation in particular--among self-interested computationally limited agents where computational actions are game-theoretically tre...
Kate Larson, Tuomas Sandholm

Book
534views
17 years 4 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
ASPLOS
2009
ACM
16 years 7 months ago
Understanding software approaches for GPGPU reliability
Even though graphics processors (GPUs) are becoming increasingly popular for general purpose computing, current (and likely near future) generations of GPUs do not provide hardwar...
Martin Dimitrov, Mike Mantor, Huiyang Zhou