机器学习大牛主页,这个分类比较杂
2015-08-06 15:31
337 查看
piotrdollár,
研究方向: Object Detection,
Pose Estimation,
Caltech Pedestrian Benchmark,
Multiple Instance & Multiple Component Learning,
Non-Isometric Manifold Learning ,
Boundary & Feature Learning ,
Behavior Recognition & Animal Behavior
Ma Yi
Low-Rank Matrix Recovery via Convex Optimization.
Face Recognition via Sparse Representation
Clustering and Classification via Lossy Compression
Generalized Principal Component Analysis
Multiple-View Geometry and 3D Reconstruction
SVETLANA LAZEBNIK
Images and Text,Image Parsing,Scene Understanding,Similarity- Preserving Binary Codes,Landmark Photo Collections,Texture and Object Recognition Using Local Features等等
研究方向: Object Detection,
Pose Estimation,
Caltech Pedestrian Benchmark,
Multiple Instance & Multiple Component Learning,
Non-Isometric Manifold Learning ,
Boundary & Feature Learning ,
Behavior Recognition & Animal Behavior
Ma Yi
Low-Rank Matrix Recovery via Convex Optimization.
Face Recognition via Sparse Representation
Clustering and Classification via Lossy Compression
Generalized Principal Component Analysis
Multiple-View Geometry and 3D Reconstruction
SVETLANA LAZEBNIK
Images and Text,Image Parsing,Scene Understanding,Similarity- Preserving Binary Codes,Landmark Photo Collections,Texture and Object Recognition Using Local Features等等
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