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This paper presents a cost-sensitive ordinal hyperplanes ranking algorithm for human age estimation based on face images. The proposed approach exploits relative-order information among the age labels for rank prediction. In our approach, the age rank is obtained by aggregating a series of binary classification results, where cost sensitivities among the labels are introduced to improve the aggregating...
The optimal data-fusion rule was first established for multiple-sensor detection systems in 1986. The probability of false alarm and the probability of miss detection required in this data-fusion rule are quite difficult to precisely enumerate in practice. Although the improved data-fusion implementation techniques are available, most existing cooperative spectrum-sensing techniques are still based...
Source localization for wideband signals using near-field acoustic sensor networks has been drawing a lot of research interest recently. In this paper, we would like to tackle the source localization problem based on the realistic assumption where the sources are corrupted by spatially-non-white noise. We explore the respective limitations of our recently proposed algorithm, namely EM source localization...
In our daily life, it is much easier to distinguish which person is elder between two persons than how old a person is. When inferring a person's age, we may compare his or her face with many people whose ages are known, resulting in a series of comparative results, and then we conjecture the age based on the comparisons. This process involves numerous pairwise preferences information obtained by...
This paper introduces a novel adaptive finite impulse-response (FIR) equalizer-order selection scheme for multiple-input multiple-output (MIMO) channels. The model-order selection for blind FIR equalizers is determined heuristically but hardly on any theoretical basis. However, this heuristical strategy would often lead to a suboptimal solution. Thus, we design a non-pilot-aided MIMO channel-length...
This paper introduces a novel adaptive guard-interval scheme for multiple-input multiple-output (MIMO) orthogonal-frequency-division-multiplexing (OFDM) systems. Conventional OFDM systems set the guard-intervals large enough to combat the inter-symbol interference (ISI). However, such long guard-intervals would often lead to the severe throughput reduction. We design a non-pilot-aided channel-length...
Channel estimation and equalization techniques are crucial for the ubiquitous wireless communication systems. Conventional receivers for most wireless standards preset the channel length to the maximal expected duration of the channel impulse response for the adopted channel estimation and equalization algorithms. The excessive channel length often significantly increases the implementational complexity...
The objective of this paper is to provide a complete solution to estimate the volume of the thyroid gland directly from US images. In this paper, the radial basis function (RBF) neural network is used to classify blocks of the thyroid gland; the integral region is further acquired by applying a specific region growing method to potential points. The parameters for evaluating the thyroid volume is...
Least-square estimation (LSE) and multiple- parameter linear regression (MLR) are the important estimation techniques for engineering and science, especially in the communications and signal processing areas. The majority of computational complexity incurred in LSE and MLR arises from a Hermitian matrix inversion. In practice, the Yule-Walker equations are not valid and hence the Levinson-Durbin algorithm...
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