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» A Riemannian approach to graph embedding
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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 9 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
ICASSP
2011
IEEE
12 years 11 months ago
A novel algorithm for occlusions and perspective effects using a 3D object process
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point p...
Ahmed Gamal-Eldin, Xavier Descombes, Josiane Zerub...
SIGGRAPH
2009
ACM
14 years 2 months ago
Spectral mesh processing
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
Bruno Lévy, Hao Zhang 0002
WWW
2008
ACM
14 years 8 months ago
Pagerank for product image search
In this paper, we cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and propose an algorithm to analyz...
Yushi Jing, Shumeet Baluja
MM
2005
ACM
171views Multimedia» more  MM 2005»
14 years 1 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen