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In most microphone array applications, it is essential to localize sources in a noisy, reverberant environment. It has been shown that computing the steered response power(SRP) is more robust than faster, two-stage, direct time-difference of arrival methods. The problem with computing SRP is that the SRP space has many local maxima and thus(More)
—A large array of microphones is being studied as a possible means of acquiring data in offices, conference rooms, and auditoria without requiring close-talking microphones. An array that surrounds all possible sources has a large aperture and such arrays have attractive properties for accurate spatial resolution and significant signal-to-noise enhancement.(More)
Location estimation is a vital aspect of a real-time large-aperture array system. To date, only time-difference-of-arrival(TDOA)-based algorithms run sufficiently fast for a real-time system, so we have been using this kind of lo-cator, LEMSalg, in our real-time environment. In this paper we present an improved location estimation algorithm. In the new(More)
a r t i c l e i n f o a b s t r a c t Automatic image annotation is concerned with the task of assigning one or more semantic concepts to a given image. It is a typical multi-label classification problem. This paper presents a novel multi-label classification framework MLNRS based on neighborhood rough sets for automatic image annotation which considers the(More)
Nowadays, multi-label classification methods are of increasing interest in the areas such as text catego-rization, image annotation and protein function classification. Due to the correlation among the labels, traditional single-label classification methods are not directly applicable to the multi-label classification problem. This paper presents two novel(More)
Particle swarm optimization (PSO) is an evolutionary algorithm known for its simplicity and effectiveness in solving various optimization problems. PSO should have strong yet balanced exploration and exploitation capabilities to enhance its performance. A superior solution guided PSO (SSG-PSO) framework integrated with an individual level based mutation(More)
The use of SVM (Support Vector Machines) in detecting e-mail as spam or nonspam by incorporating feature selection using GA (Genetic Algorithm) is investigated. An GA approach is adopted to select features that are most favorable to SVM classifier, which is named as GA-SVM. Scaling factor is exploited to measure the relevant coefficients of feature to the(More)