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» Multiple Kernel Learning for Dimensionality Reduction
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TKDE
2010
186views more  TKDE 2010»
13 years 3 months ago
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis
—Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products, etc.). Social tag...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
FIMH
2009
Springer
13 years 2 months ago
Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edg...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 5 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
CVPR
2007
IEEE
14 years 6 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 5 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum