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ACISICIS
2007
IEEE
14 years 4 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
LREC
2010
156views Education» more  LREC 2010»
13 years 11 months ago
Data-Driven and Ontological Analysis of FrameNet for Natural Language Reasoning
This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as q...
Ekaterina Ovchinnikova, Laure Vieu, Alessandro Olt...
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
13 years 10 months ago
Leveraging spatio-temporal redundancy for RFID data cleansing
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...
MOBIDE
2006
ACM
14 years 3 months ago
Towards correcting input data errors probabilistically using integrity constraints
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...
Nodira Khoussainova, Magdalena Balazinska, Dan Suc...
PODS
2009
ACM
134views Database» more  PODS 2009»
14 years 10 months ago
An efficient rigorous approach for identifying statistically significant frequent itemsets
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
Adam Kirsch, Michael Mitzenmacher, Andrea Pietraca...