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» Hashing Methods for Temporal Data
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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...
115
Voted
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...
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, ...
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