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» Modeling Problem Transformations based on Data Complexity
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157
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TIP
2008
86views more  TIP 2008»
15 years 4 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...
GIS
2010
ACM
15 years 3 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...
163
Voted
CORR
2010
Springer
195views Education» more  CORR 2010»
14 years 11 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 4 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
151
Voted
FSS
2010
147views more  FSS 2010»
15 years 3 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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