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CVPR
2010
IEEE
14 years 24 days ago
Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy
In this paper, we present a 3D X-Ray Transform based multilinear feature extraction and classification method for Digital Multi-focal Images (DMI). In such images, morphological i...
Min Liu, Amit Roy-Chowdhury
CIDM
2009
IEEE
14 years 11 days ago
Clustering-based activity classification with a wrist-worn accelerometer using basic features
Abstract-- Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise more frequ...
Pekka Siirtola, Perttu Laurinen, Eija Haapalainen,...
CVPR
2010
IEEE
14 years 24 days ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...
ECCV
2004
Springer
14 years 10 months ago
A Linguistic Feature Vector for the Visual Interpretation of Sign Language
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 20 days ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...