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DICTA
2009
15 years 7 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
148
Voted
GLOBECOM
2008
IEEE
15 years 7 months ago
Distance-Enhancing Constrained Codes for Optical Recording Channels
Abstract— This paper proposes distance-enhancing constrained codes for optical recording channels. The repeated minimum transition runlength (RMTR) constraints are first investi...
Kui Cai, Kees A. Schouhamer Immink, Zhiliang Qin
CONCUR
2010
Springer
15 years 6 months ago
Conditional Automata: A Tool for Safe Removal of Negligible Events
Abstract. Polynomially accurate simulations [19] are relations for Probabilistic Automata that require transitions to be matched up to negligible sets provided that computation len...
Roberto Segala, Andrea Turrini
ICASSP
2010
IEEE
15 years 6 months ago
Transcription-based video genre classification
In this paper, we present a new method for video genre identification based on the linguistic content analysis. This approach relies on the analysis of the most frequent words in...
Stanislas Oger, Mickael Rouvier, Georges Linares
ICCCN
2007
IEEE
15 years 6 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu