Sciweavers

ECIR
2011
Springer
13 years 2 months ago
Fusion vs. Two-Stage for Multimodal Retrieval
We compare two methods for retrieval from multimodal collections. The first is a score-based fusion of results, retrieved visually and textually. The second is a two-stage method ...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
JODS
2007
116views Data Mining» more  JODS 2007»
13 years 10 months ago
A Tool for Evaluating Ontology Alignment Strategies
Ontologies are an important technology for the Semantic Web. In different areas ontologies have already been developed and many of these ontologies contain overlapping information...
Patrick Lambrix, He Tan
JSAT
2006
83views more  JSAT 2006»
13 years 10 months ago
Report of the Third QBF Solvers Evaluation
This paper reports about the 2005 comparative evaluation of solvers for quantified Boolean formulas (QBFs), the third in a series of non-competitive events established with the ai...
Massimo Narizzano, Luca Pulina, Armando Tacchella
ACL
2001
14 years 6 days ago
Evaluation Tool for Rule-based Anaphora Resolution Methods
In this paper we argue that comparative evaluation in anaphora resolution has to be performed using the same pre-processing tools and on the same set of data. The paper proposes a...
Catalina Barbu, Ruslan Mitkov
SAT
2004
Springer
75views Hardware» more  SAT 2004»
14 years 4 months ago
The Second QBF Solvers Comparative Evaluation
This paper reports about the 2004 comparative evaluation of solvers for quantified Boolean formulas (QBFs), the second in a series of non-competitive events established with the a...
Daniel Le Berre, Massimo Narizzano, Laurent Simon,...
CHI
2003
ACM
14 years 11 months ago
Card, English, and Burr (1978): 25 years later
We revisit the Fitts'law model published 25 years ago by Card, English, and Burr. Their research was important because it was the first comparative evaluation of the mouse, a...
I. Scott MacKenzie, R. William Soukoreff
ECCV
2004
Springer
14 years 12 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...