Sciweavers

ICIAP
1999
ACM
13 years 8 months ago
Self-Training Statistic Snake for Image Segmentation and Tracking
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
NLPRS
2001
Springer
13 years 9 months ago
An Empirical Study of Feature Set Selection for Text Chunking
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
Young-Sook Hwang, Yong-Jae Kwak, Hoo-Jung Chung, S...
ICANN
2001
Springer
13 years 9 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
13 years 9 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
ECCV
2010
Springer
13 years 10 months ago
3D Point Correspondence by Minimum Description Length in Feature Space
Abstract. Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. For the point correspondence ...
EWCBR
2004
Springer
13 years 10 months ago
Case Retrieval Using Nonlinear Feature-Space Transformation
Abstract. Good similarity functions are at the heart of effective case-based reasoning. However, the similarity functions that have been designed so far have been mostly linear, we...
Rong Pan, Qiang Yang, Lei Li
ECAI
2004
Springer
13 years 10 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
IJCNLP
2005
Springer
13 years 10 months ago
Period Disambiguation with Maxent Model
Abstract. This paper presents our recent work on period disambiguation, the kernel problem in sentence boundary identification, with the maximum entropy (Maxent) model. A number o...
Chunyu Kit, Xiaoyue Liu
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
ICMCS
2005
IEEE
91views Multimedia» more  ICMCS 2005»
13 years 10 months ago
An Intuitive Graphic Environment for Navigation and Classification of Multimedia Documents
In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visu...
Marco Campanella, Riccardo Leonardi, Pierangelo Mi...