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» Hashing Methods for Temporal Data
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110
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CVIU
2004
94views more  CVIU 2004»
15 years 2 months ago
Video-based event recognition: activity representation and probabilistic recognition methods
We present a new representation and recognition method for human activities. An activity is considered to be composed of action threads, each thread being executed by a single act...
Somboon Hongeng, Ramakant Nevatia, François...
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 8 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
99
Voted
VC
2008
99views more  VC 2008»
15 years 2 months ago
Minimizing probable collision pairs searched in interactive animation authoring
Animation authoring involves an author's interaction with a scene, resulting in varying scene complexity for a given animation sequence. In such a varying environment, detecti...
Parag Agarwal, Srinivas Rajagopalan, B. Prabhakara...
145
Voted
MDM
2007
Springer
131views Communications» more  MDM 2007»
15 years 8 months ago
Q-NiGHT: Adding QoS to Data Centric Storage in Non-Uniform Sensor Networks
Storage of sensed data in wireless sensor networks is essential when the sink node is unavailable due to failure and/or disconnections, but it can also provide efficient access t...
Michele Albano, Stefano Chessa, Francesco Nidito, ...
107
Voted
ICML
2009
IEEE
16 years 3 months ago
Deep learning from temporal coherence in video
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
Hossein Mobahi, Ronan Collobert, Jason Weston