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» Learning semantic object parts for object categorization
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AVSS
2009
IEEE
15 years 8 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
ICWL
2004
Springer
15 years 9 months ago
Context-Based Classification for Link Data
In Web-based e-learning, an up-to-date catalogue of subject-specific Web resources can effectively offer inexperienced students with an advanced academic portal on the Web. To auto...
YongHong Tian, Wen Gao, Tiejun Huang
SSPR
1998
Springer
15 years 8 months ago
Tracking of Rotating Objects
Abstract. A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of grap...
Gabriele Peters, Christian Eckes, Christoph von de...
ECCV
2010
Springer
15 years 6 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
JUCS
2002
146views more  JUCS 2002»
15 years 3 months ago
A Framework for Semantics of UML Sequence Diagrams in PVS
: This paper presents a framework for representing formal semantics of a subset of the Unified Modeling Language (UML) notation in a higher-order logic, more specifically semantics...
Demissie B. Aredo