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» Assessment of Post-Stroke Functioning Using Machine Vision
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CVPR
2010
IEEE
13 years 9 months ago
Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data
We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stag...
Amelia White, Huey-Ling Kao, Patricia Cipriani, Br...
CVPR
2003
IEEE
15 years 12 days ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
ICPR
2008
IEEE
14 years 11 months ago
Enforcing image consistency in multiple 3-D object modelling
In this paper we present a new approach for modelling multiple object scenes using images taken from various viewpoints. The voxel representation produced by the space carving is ...
Adrian G. Bors, Matthew Grum
ICCV
2007
IEEE
15 years 10 days ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
JMLR
2012
12 years 25 days ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli