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2007
Springer
15 years 11 months ago
Spreadsheet Interface Which Simplifies the Visualization of the Network Structures
We developed a system that extracts and visualizes the network structures from relational data on spreadsheets. Visualization through network diagrams obtained from relational data...
Satoshi Koike, Kazuo Misue, Jiro Tanaka
168
Voted
DATESO
2009
158views Database» more  DATESO 2009»
15 years 2 months ago
Benchmarking Coding Algorithms for the R-tree Compression
Multi-dimensional data structures have been widely applied in many data management fields. Spatial data indexing is their natural application, however there are many applications i...
Jirí Walder, Michal Krátký, R...
IEEEICCI
2009
IEEE
15 years 2 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
AROBOTS
2011
15 years 3 days ago
Human motion database with a binary tree and node transition graphs
— Database of human motion has been widely used for recognizing human motion and synthesizing humanoid motions. In this paper, we propose a data structure for storing and extract...
Katsu Yamane, Yoshifumi Yamaguchi, Yoshihiko Nakam...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 2 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...