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» Self Bounding Learning Algorithms
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ICML
2003
IEEE
14 years 10 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
ASIASIM
2004
Springer
14 years 3 months ago
self-CD: Interactive Self-collision Detection for Deformable Body Simulation Using GPUs
This paper presents an efficient self-collision detection algorithm for deformable body simulation using programmable graphics processing units (GPUs). The proposed approach store...
Yoo-Joo Choi, Young J. Kim, Myoung-Hee Kim
DAC
2003
ACM
14 years 10 months ago
Learning from BDDs in SAT-based bounded model checking
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...
Aarti Gupta, Malay K. Ganai, Chao Wang, Zijiang Ya...
PREMI
2007
Springer
14 years 3 months ago
Self Adaptable Recognizer for Document Image Collections
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Million Meshesha, C. V. Jawahar
NIPS
2007
13 years 11 months ago
A general agnostic active learning algorithm
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni