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» Object Recognition Using Segmentation for Feature Detection
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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
WACV
2005
IEEE
15 years 7 months ago
Periodic Motion Detection and Estimation via Space-Time Sampling
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Ashwin Thangali, Stan Sclaroff
118
Voted
ICDAR
1999
IEEE
15 years 6 months ago
Segmenting Documents using Multiple Lexical Features
A method is presented for segmenting documents into conceptually related areas. Determining the equivalence of text is often based on the number of word repetitions. This approach...
Amanda C. Jobbins, Lindsay J. Evett
126
Voted
IJCV
2006
145views more  IJCV 2006»
15 years 1 months ago
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
123
Voted
DAGSTUHL
2006
15 years 3 months ago
Interleaving Object Categorization and Segmentation
In this chapter, we aim to connect the areas of object categorization and figure-ground segmentation. We present a novel method for the categorization of unfamiliar objects in diff...
Bastian Leibe, Bernt Schiele