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ICPR
2006
IEEE
16 years 4 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
SEMCO
2009
IEEE
15 years 9 months ago
Using a Formal Language Constructs for Software Model Evolution
— In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actio...
Samuel A. Ajila, Shahid Alam
JVA
2006
IEEE
15 years 9 months ago
Describing and Researching of Learning Resources with Ontology Model
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...
S. Niwattanakul, M. Eboueya, D. Lillis
ICML
2005
IEEE
16 years 3 months ago
Learn to weight terms in information retrieval using category information
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Rong Jin, Joyce Y. Chai, Luo Si
CICLING
2010
Springer
15 years 10 months ago
Computational Models of Language Acquisition
Abstract. Child language acquisition, one of Nature’s most fascinating phenomena, is to a large extent still a puzzle. Experimental evidence seems to support the view that early ...
Shuly Wintner