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DATESO
2004
165views Database» more  DATESO 2004»
13 years 10 months ago
Multi-dimensional Sparse Matrix Storage
Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computa...
Jiri Dvorský, Michal Krátký
CIKM
2010
Springer
13 years 7 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
MIR
2004
ACM
153views Multimedia» more  MIR 2004»
14 years 2 months ago
Clip-based similarity measure for hierarchical video retrieval
This paper proposes a new approach and algorithm for the similarity measure of video clips. The similarity is mainly based on two bipartite graph matching algorithms: maximum matc...
Yuxin Peng, Chong-Wah Ngo
ECIR
2009
Springer
14 years 6 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
EMNLP
2011
12 years 8 months ago
Compositional Matrix-Space Models for Sentiment Analysis
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
Ainur Yessenalina, Claire Cardie