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» The Use of Classifiers in Sequential Inference
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CVPR
2011
IEEE
13 years 3 months ago
Particle Filter with State Permutations for Solving Image Jigsaw Puzzles
We deal with an image jigsaw puzzle problem, which is defined as reconstructing an image from a set of square and non-overlapping image patches. It is known that a general instan...
Xingwei Yang, Nagesh Adluru, LonginJan Latecki
APIN
2002
121views more  APIN 2002»
13 years 7 months ago
Applying Learning by Examples for Digital Design Automation
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
Ben Choi
BMCBI
2007
77views more  BMCBI 2007»
13 years 7 months ago
Effective selection of informative SNPs and classification on the HapMap genotype data
Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...
Nina Zhou, Lipo Wang
ARCSF
2008
13 years 9 months ago
Probabilistic Prediction of Student Affect from Hand Gestures
Abstract-- Affective information is vital for effective human-tohuman communication. Likewise, human-to-computer communication could be potentiated by an "affective barometer&...
Abdul Rehman Abbasi, Matthew N. Dailey, Nitin V. A...
NIPS
2001
13 years 9 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts