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» A New Indexing Method for High Dimensional Dataset
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ICPR
2010
IEEE
13 years 11 months ago
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
Svebor Karaman, Jenny Benois-Pineau, Remi Megret, ...
SIGMOD
2005
ACM
178views Database» more  SIGMOD 2005»
14 years 8 months ago
Towards Effective Indexing for Very Large Video Sequence Database
With rapid advances in video processing technologies and ever fast increments in network bandwidth, the popularity of video content publishing and sharing has made similarity sear...
Heng Tao Shen, Beng Chin Ooi, Xiaofang Zhou
SIGMOD
2002
ACM
219views Database» more  SIGMOD 2002»
14 years 8 months ago
Efficient k-NN search on vertically decomposed data
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
VLDB
2004
ACM
125views Database» more  VLDB 2004»
14 years 1 months ago
Reverse kNN Search in Arbitrary Dimensionality
Given a point q, a reverse k nearest neighbor (RkNN) query retrieves all the data points that have q as one of their k nearest neighbors. Existing methods for processing such quer...
Yufei Tao, Dimitris Papadias, Xiang Lian
ECAI
2004
Springer
14 years 1 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic