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» Maximal Vector Computation in Large Data Sets
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CVPR
2010
IEEE
15 years 10 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
SAC
2002
ACM
15 years 6 months ago
Concurrency control for distributed cooperative engineering applications
Distributed cooperative engineering applications require consistent and long-term sharing of large volumes of data, which may cause conflicts due to concurrent read/write operatio...
João Coelho Garcia, Paulo Ferreira
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
VLDB
2001
ACM
94views Database» more  VLDB 2001»
15 years 11 months ago
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
In recent years, several methods have been proposed for implementing interactive similarity queries on multimedia databases. Common to all these methods is the idea to exploit use...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
BMCBI
2007
164views more  BMCBI 2007»
15 years 6 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason