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TIP
2011
123views more  TIP 2011»
13 years 3 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz
ICIP
2009
IEEE
14 years 9 months ago
Combining Multimodal And Temporal Contextual Information For Semantic Video Analysis
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
ICANN
2007
Springer
14 years 2 months ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
3DPVT
2006
IEEE
195views Visualization» more  3DPVT 2006»
14 years 2 months ago
The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites
Techniques for three dimensional (3D) imaging and analysis of as-built conditions of buildings are gaining acceptance in the Architecture, Engineering, and Construction (AEC) comm...
Kui Yue, Daniel Huber, Burcu Akinci, Ramesh Krishn...
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
14 years 4 days ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool