This paper presents empirical findings about group interaction and negotiation behavior in face-to-face and
computer-mediated requi.rem.ents negotiations. The design of a controlled study that investigated group
performance ...
Cucchiara Rita; Piccardi Massimo; Prati Andrea(Institute of Electrical and Electronics Engineers, 2004)
Cache performance is strongly influenced by the
type of locality embodied in programs. In particular, multimedia
programs handling images and videos are characterized
by a bidimensional spatial locality, which is not ...
Support vector machines (SVMs), which were originally designed for binary classifications, are an excellent tool for machine learning. For the multiclass classifications, they are usually converted into binary ones before ...
Support vector machines (SVMs) are invaluable tools for many practical applications in artificial intelligence, e.g., classification and event recognition. However, popular SVM solvers are not sufficiently efficient for ...
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special statistical algorithms that aid visualisation of 'emergent' patterns and trends in the linkage. It complements ...
Network Data Mining identifies emergent networks between myriads of individual data items and utilises
special algorithms that aid visualisation of 'emergent' patterns and trends in the linkage. It complements conventional
data ...
Given the significant role attributed to community organisations by many social
capital scholars, it is appropriate to investigate the dynamics of that process. In particular,
Woolcott & Narayan (2001) have suggested ...
Tan Zhiyuan; Jamdagni Aruna; He Xiangjian; Nanda Priyadarsi(IEEE Computer Society, 2010)
Anomaly Intrusion Detection System (IDS) is a statistical based network IDS which can detect attack variants and nove attacks without a priori knowledge. Current anomaly IDSs are inefficient for real-time detection because ...
Hintz Thomas; He Xiangjian; Wu Qiang(CSREA Press, 2002)
Edge detection of 3-dimensional physical
objects in a 2-dimensional image is one of the
main research areas of computer vision. Edge point
is defined as a hexagonal pixel where an abrupt
change in grey level takes ...
In automated visual surveillance systems (AVSS), reliable detection of suspicious human behavior is of great practical importance. Many conventional classifiers have shown to perform inadequately because of unpredictable ...
Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder independence assumption ...
This paper presents the application of a neuro-fuzzy learning approach to classify Air Traffic Control (ATC) trajectory segments from recorded opportunity traffic. This method learns a fuzzy system using neural-network ...
Highly dynamic, re-configurable hardware, embedded software
and communication networks are becoming very significant in operation
of various emergency services. The key challenge in designing
such systems is to provide ...
Lu Jie; Wang Dong Fang; Tran Tich Phuoc; Chen Shuoyu; Tolentino Marshall(Donghua University, 2006)
This paper introduces an innovative design of a
classifier based decision support component for an
intrusion detection system. In particular, this model
uses an emerging semi-parametric learning algorithm
called Modified ...
We introduce a new algorithm for mining the fuzzy association rules by removing redundant fuzzy association (RFA) rules. Firstly, we analyze some properties of fuzzy association rules and give the definition of RFA rules. ...
Ramezani Fahimeh; Lu Jie(Springer-Verlag Berlin / Heidelberg, 2011)
There are many fuzzy ranking algorithms available to solve multi-attribute decision making (MADM) problems. Some are more suitable than others for particular decision problems. This paper proposes a new method for choosing ...
Xiao Bing; Gao Xinbo; Tao Dacheng; Li Xuelong(Elsevier Science Bv, 2009)
Face recognition by sketches in photos remains a challenging task. Unlike the existing sketch-photo recognition methods, which convert a photo into sketch and then perform the sketch-photo recognition through sketch-sketch ...
Wang Huaqing; He Xiangjian; Wu Qiang; Hintz Thomas(The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
In this paper, we propose a Fractal Image Compression
method on a virtual hexagonal image structure by adopting
Fisher’s basic method on the traditional square image
structure. The modification on the definition of range ...
We introduce the concepts of interior, boundary, subspace, connected space, first- and second-countable spaces, and establish some of their properties in fuzzifying topology.