7,056 Result(s)
within
Chapter
Conference Paper
**mo Wang
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Develop Multi-hierarchy Classification Model: Rough Set Based Feature Decomposition Method
Model development on high dimension database is very difficult. This paper presents a new rough set based machine learning method, named feature decomposition method, to discover concept hierarchies and develo...
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Chapter and Conference Paper
A Tabu Search Based Method for Minimum Sum of Squares Clustering
In this article, the metaheuristic algorithm, tabu search, is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. The presented method integrates four moving ...
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Chapter and Conference Paper
A Weighting Initialization Strategy for Weighted Support Vector Machines
This paper presents a problem independent weighting strategy for weighted support vector machines (SVMs). SVMs can be applied with a weighting to each training vector to reflect the importance of different cla...
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Chapter and Conference Paper
Spectral Clustering for Time Series
This paper presents a general framework for time series clustering based on spectral decomposition of the affinity matrix. We use the Gaussian function to construct the affinity matrix and develop a gradient b...
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Chapter and Conference Paper
A Comparative Study on Chinese Word Clustering
This paper evaluates four unsupervised Chinese word clustering methods, respectively maximum mutual information (MMI), function word (FW), high frequent word (HFW), and word cluster (WC). Two evaluation measur...
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Chapter and Conference Paper
Improved Mandarin Speech Recognition by Lattice Rescoring with Enhanced Tone Models
Tone plays an important lexical role in spoken tonal languages like Mandarin Chinese. In this paper we propose a two-pass search strategy for improving tonal syllable recognition performance. In the first pass...
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Chapter and Conference Paper
A Study of Knowledge-Based Features for Obstruent Detection and Classification in Continuous Mandarin Speech
A study on acoustic-phonetic features for the obstruent detection and classification based on the knowledge of Mandarin speech is proposed. Seneff auditory model is used as the front-end processor for extracti...
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Chapter and Conference Paper
TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets
Unlike the traditional datasets, gene expression datasets typically contain a huge number of items and few transactions. Though there were a large number of algorithms that had been developed for mining freque...
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Chapter and Conference Paper
A Novel Alternative Hypothesis Characterization Using Kernel Classifiers for LLR-Based Speaker Verification
In a log-likelihood ratio (LLR)-based speaker verification system, the alternative hypothesis is usually ill-defined and hard to characterize a priori, since it should cover the space of all possible impostors...
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Chapter and Conference Paper
Rhythmic Organization of Mandarin Utterances — A Two-Stage Process
This paper investigates the rhythmic organization of Mandarin utterances through both corpus analyses and experimental studies. We propose to add a new prosodic unit, the principle prosodic unit (PPU), into th...
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Chapter and Conference Paper
Integrating Complementary Features with a Confidence Measure for Speaker Identification
This paper investigates the effectiveness of integrating complementary acoustic features for improved speaker identification performance. The complementary contributions of two acoustic features, i.e. the conv...
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Chapter and Conference Paper
Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviews
This paper is concerned with automatic identification of implicit product features expressed in product reviews in the context of opinion question answering. Utilizing a polarity lexicon, we map each adjective...
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Chapter and Conference Paper
New Hybrid Real-Coded Genetic Algorithm
Real-coded Genetic Algorithms (RGAs) usually meet the demand of continuous and continuous/discreet mixed space problems and have been widely applied in many fields. The paper proposed a new Hybrid Real-coded G...
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Chapter and Conference Paper
Markov Modeling of Conformational Kinetics of Cardiac Ion Channel Proteins
Markov modeling of conformational kinetics of cardiac ion channels is a prospective means to correlate the molecular defects of channel proteins to their electrophysiological dysfunction. However, both the ide...
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Chapter and Conference Paper
Discrimination-Based Feature Selection for Multinomial Naïve Bayes Text Classification
In this paper we focus on the problem of class discrimination issues to improve performance of text classification, and study a discrimination-based feature selection technique in which the features are select...
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Chapter and Conference Paper
Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models
The purpose of extractive summarization is to automatically select indicative sentences, passages, or paragraphs from an original document according to a certain target summarization ratio, and then sequence t...
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Chapter and Conference Paper
Correcting Bound Document Images Based on Automatic and Robust Curved Text Lines Estimation
Geometric distortion often occurs when taking images of bound documents. This phenomenon greatly impairs recognition accuracy. In this paper, a new one-image based method is proposed to correct geometric disto...
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Chapter and Conference Paper
A Multi-layered Summarization System for Multi-media Archives by Understanding and Structuring of Chinese Spoken Documents
The multi-media archives are very difficult to be shown on the screen, and very difficult to retrieve and browse. It is therefore important to develop technologies to summarize the entire archives in the netwo...
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Chapter and Conference Paper
Distributed Speech Recognition of Mandarin Digits String
In this paper, the performance of the pitch detection algorithm in ETSI ES-202-212 XAFE standard is evaluated on a Mandarin digit string recognition task. Experimental results showed that the performance of th...
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Chapter and Conference Paper
Color Region Tracking Against Brightness Changes
This pater describes a new method for real-time and robust object tracking using a Gaussian-cylindroid color model and an adaptive mean shift. Color information has been widely used for characterizing an objec...
