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RECSYS
2010
ACM
14 years 10 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
56
Voted
NAR
2006
86views more  NAR 2006»
14 years 9 months ago
ISfinder: the reference centre for bacterial insertion sequences
ISfinder (www-is.biotoul.fr) is a dedicated database for bacterial insertion sequences (ISs). It has superseded the Stanford reference center. One of its functions is to assign IS...
P. Siguier, J. Perochon, L. Lestrade, J. Mahillon,...
TKDE
2008
158views more  TKDE 2008»
14 years 9 months ago
Hierarchical Clustering of Time-Series Data Streams
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
Pedro Pereira Rodrigues, João Gama, Jo&atil...
PVLDB
2010
100views more  PVLDB 2010»
14 years 4 months ago
Efficient Proximity Detection among Mobile Users via Self-Tuning Policies
Given a set of users, their friend relationships, and a distance threshold per friend pair, the proximity detection problem is to find each pair of friends such that the Euclidean...
Man Lung Yiu, Leong Hou U, Simonas Saltenis, Kosta...
CVPR
2011
IEEE
14 years 1 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...