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» The Feature Importance Ranking Measure
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72
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WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
15 years 7 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
BMVC
2001
15 years 2 days ago
CBIR with Perceptual Region Features
A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions...
Majid Mirmehdi, Radhakrishnan Periasamy
ACL
2009
14 years 7 months ago
A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion
Correct stress placement is important in text-to-speech systems, in terms of both the overall accuracy and the naturalness of pronunciation. In this paper, we formulate stress ass...
Qing Dou, Shane Bergsma, Sittichai Jiampojamarn, G...
ICIP
2001
IEEE
15 years 11 months ago
Morphological scale-space analysis and feature extraction
This paper presents a morphological scale-space approach to the problem of feature extraction. The method relies on two steps: a hierarchical simplification step based on pyramids...
Corinne Vachier
69
Voted
ESWA
2008
127views more  ESWA 2008»
14 years 9 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...