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ECCV
2010
Springer
15 years 3 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
JLP
2006
155views more  JLP 2006»
14 years 10 months ago
A formally grounded software specification method
One of the goals of software engineering is to provide what is necessary to write relevant, legible, useful descriptions of the systems to be developed, which will be the basis of...
Christine Choppy, Gianna Reggio
ICASSP
2011
IEEE
14 years 1 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
AINA
2009
IEEE
15 years 4 months ago
Matching Model for Semantic Web Services Discovery
The Semantics-based Web Service Matching Model is proposed in this paper to improve the performance of Web Service discovery. Semantics-based Web Service Matching is a two-phase m...
Kamran Zamanifar, Alireza Zohali, Naser Nematbakhs...
ICDIM
2008
IEEE
15 years 4 months ago
A fast approximate algorithm for large-scale Latent Semantic Indexing
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....
Dell Zhang, Zheng Zhu