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» Extracting general-purpose features from LIDAR data
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ECCV
2010
Springer
15 years 5 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
15 years 4 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
ICDAR
2009
IEEE
15 years 6 months ago
A Set of Chain Code Based Features for Writer Recognition
This communication presents an effective method for writer recognition in handwritten documents. We have introduced a set of features that are extracted from the contours of handw...
Imran Siddiqi, Nicole Vincent
AUSAI
2007
Springer
15 years 3 months ago
Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Len
Abstract. This paper describes and compares the use of methods based on Ngrams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and s...
Kyongho Min, William H. Wilson, Byeong Ho Kang
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 5 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...