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PAMI
2008
250views more  PAMI 2008»
15 years 6 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
PAMI
2008
137views more  PAMI 2008»
15 years 6 months ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi
PERCOM
2008
ACM
15 years 6 months ago
The sensor internet at work: Locating everyday items using mobile phones
We present a system for monitoring and locating everyday items using mobile phones. The system is based on phones which are enhanced with the capability to detect electronically t...
Christian Frank, Philipp Bolliger, Friedemann Matt...
NGC
2006
Springer
135views Communications» more  NGC 2006»
15 years 6 months ago
Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps
This paper examines two seemingly unrelated qualitative spatial reasoning domains; geometric proportional analogies and topographic (landcover) maps. We present a Structure Matchin...
Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Kean...
PAMI
2006
143views more  PAMI 2006»
15 years 6 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin