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BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...
Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisa...
MMS
2006
13 years 7 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
ICALP
2009
Springer
14 years 7 months ago
Learning Halfspaces with Malicious Noise
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
ICALP
2007
Springer
14 years 1 months ago
Separating Deterministic from Nondeterministic NOF Multiparty Communication Complexity
d Abstract) Paul Beame1, , Matei David2, , Toniann Pitassi2, , and Philipp Woelfel2,† 1 University of Washington 2 University of Toronto Abstract. We solve some fundamental probl...
Paul Beame, Matei David, Toniann Pitassi, Philipp ...