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» Modeling Problem Transformations based on Data Complexity
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132
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TIP
2008
86views more  TIP 2008»
15 years 2 months ago
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
Walter Sun, Müjdat Çetin, Raymond C. C...
118
Voted
GIS
2010
ACM
15 years 1 months ago
Verifying spatial queries using Voronoi neighbors
With the popularity of location-based services and the abundant usage of smart phones and GPS enabled devices, the necessity of outsourcing spatial data has grown rapidly over the...
Ling Hu, Wei-Shinn Ku, Spiridon Bakiras, Cyrus Sha...
CORR
2010
Springer
195views Education» more  CORR 2010»
14 years 9 months ago
Energy Optimal Transmission Scheduling in Wireless Sensor Networks
One of the main issues in the design of sensor networks is energy efficient communication of time-critical data. Energy wastage can be caused by failed packet transmission attempts...
Rahul Srivastava, Can Emre Koksal
PAMI
2007
186views more  PAMI 2007»
15 years 2 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
FSS
2010
147views more  FSS 2010»
15 years 1 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
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