Sciweavers

155 search results - page 4 / 31
» The Problem with Noise and Small Disjuncts
Sort
View
ICASSP
2011
IEEE
14 years 1 months ago
Horizontal small target detection with cooperative background estimation and removal filters
Detecting small targets is essential for mitigating the seabased Infrared search and track (IRST) problem. It is easy to detect small targets in homogeneous backgrounds such as th...
Sungho Kim, Yukyung Yang, Joo-Hyoung Lee
72
Voted
CP
2000
Springer
15 years 1 months ago
Analysis of Random Noise and Random Walk Algorithms
Random Noise and Random Walk algorithms are local search strategies that have been used for the problem of satisfiability testing (SAT). We present a Markov-chain based analysis o...
Bhaskar Krishnamachari, Xi Xie, Bart Selman, Steph...
73
Voted
AI
2010
Springer
15 years 2 months ago
Overlap versus Imbalance
Abstract. In this paper we give a systematic analysis of the relationship between imbalance and overlap as factors influencing classifier performance. We demonstrate that these t...
Misha Denil, Thomas P. Trappenberg
FOCS
2006
IEEE
15 years 3 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra
COLT
1999
Springer
15 years 1 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...