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ICONIP
2007
15 years 8 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
MVA
2007
203views Computer Vision» more  MVA 2007»
15 years 8 months ago
Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images
This paper proposes a novel system for the automatic detection of important anatomical structures such as the Optic Disc (OD), Blood Vessels and Macula in digital fundus retinal i...
Anantha Vidya Sagar, S. Balasubramanian, V. Chandr...
MVA
2007
149views Computer Vision» more  MVA 2007»
15 years 8 months ago
Extracting Object Regions Using Locally Estimated Probability Density Functions
In this paper, a novel method for estimating a precise object region using a given rough object region is proposed. For determining whether each pixel belongs to an object or not,...
Hidenori Takeshima, Takashi Ida, Toshimitsu Kaneko
NAACL
2007
15 years 8 months ago
Extracting Semantic Orientations of Phrases from Dictionary
We propose a method for extracting semantic orientations of phrases (pairs of an adjective and a noun): positive, negative, or neutral. Given an adjective, the semantic orientatio...
Hiroya Takamura, Takashi Inui, Manabu Okumura
PLANX
2007
15 years 8 months ago
Lux: A Lightweight, Statically Typed XML Update Language
Several proposals for updating XML have been introduced. Many of them have a rather complicated semantics due to the interaction of side-effects and updates, and some proposals a...
James Cheney
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