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» An Entity-Level Approach to Information Extraction
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ICCV
2011
IEEE
12 years 8 months ago
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...
ICCV
2011
IEEE
12 years 8 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
TKDE
2012
190views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
CVPR
2009
IEEE
15 years 3 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
COSIT
2009
Springer
130views GIS» more  COSIT 2009»
14 years 2 months ago
Case-Based Reasoning for Eliciting the Evolution of Geospatial Objects
Abstract.Abstract.Abstract. This paper proposes an automated approach for describing how geospatial objects evolve. We consider geospatial objects whose boundaries and properties c...
Joice Seleme Mota, Gilberto Câmara, Maria Is...