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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao
TCBB
2010
80views more  TCBB 2010»
14 years 8 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
ESANN
2006
14 years 11 months ago
Non-linear gating network for the large scale classification model CombNET-II
The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert classifiers (branch net...
Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroya...
TITS
2008
250views more  TITS 2008»
14 years 10 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
IEE
2007
120views more  IEE 2007»
14 years 10 months ago
Classification of model transformation techniques used in UML-based Web engineering
Software development techniques are continuously evolving with the goal of solving the main problems that still affect the building and maintenance of software systems: time, cost...
N. Koch