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» Analysis of Handwriting Individuality Using Word Features
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ICMCS
2006
IEEE
66views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features
To identify important utterances from open-domain spontaneous conversations, previous work has focused on using textual features that are extracted from transcripts, e.g., word fr...
Xiaodan Zhu, Gerald Penn
PROPOR
2010
Springer
264views Languages» more  PROPOR 2010»
14 years 24 days ago
Comparing Sentence-Level Features for Authorship Analysis in Portuguese
In this paper we compare the robustness of several types of stylistic markers to help discriminate authorship at sentence level. We train a SVM-based classifier using each set of ...
Rui Sousa-Silva, Luís Sarmento, Tim Grant, ...
ICDAR
2009
IEEE
14 years 2 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
ICMCS
2010
IEEE
231views Multimedia» more  ICMCS 2010»
13 years 5 months ago
Event based news video people classification and ranking using multimodality features
Existing research on news video analysis mainly concentrates on structure analysis, semantic concept detection, annotation and search. However, little work has been contributed to...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Changs...
ICASSP
2008
IEEE
14 years 2 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose