Efficient visual content retrieval and mining in videos by Sivic, J, Zisserman, A

“…</p> <p>The second application is to data mining. We obtain the principal objects, characters and scenes in a video by measuring the reoccurrence of these spatial configurations of viewpoint covariant regions.…”

Filmwise condensation of steam on sinusoidal pin fin arrays : effects of fin height and fin pitch by Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

“…An experimental investigation on the use of sinusoidal pin fins to enhance filmwise condensation of steam on vertical plates was carried out. …”
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A review on substitution of natural sand with granite fines in sustainable concrete by Li, Ziyang, Lao, Junying, Wang, Lijie, Lim, Namyo Salim, Tan, Kang Hai, Qian, Shunzhi

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Ultra-fine bainite in medium-carbon high-silicon bainitic steel by Yu, Xinpan, Wang, Yong, Wu, Huibin, Gong, Na

“…%C ultra-fine bainitic steel is through austenitization at 1000 °C and austempering at 340 °C.…”
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God v. free will by Loh, Xi Hong

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Direction finding for UWB RFID system in dense cluttered environments by Luo, Yanjia

“…Source direction finding with an antenna array is a major topic in radar-related applications. …”
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Servo valve-line hydraulic system by Ong, Jia Xian.

“…The electrohydraulic system in this project consists of hydraulic pump, pipeline, servovalve, accumulator and variable orifice. There are 5 different cases of hydraulic systems to be analyzed using lumped parameter analysis approach. …”
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A parallel dipole line system by Gunawan, Oki, Virgus, Yudistira, Tai, Kong Fai

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Automatic electric reel line winder by Yong, Chuan Kian

“…The project also involved the setting up of an automatic electric reel line winder that is use for winding a line on a spool or a reel with a rotatable handle. …”
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Automatic line matching across views by Schmid, C, Zisserman, A

“…The paper presents a new method for matching individual line segments between images. The method uses both grey-level information and the multiple view geometric relations between the images. …”

Implementation and evaluation of data-mining tools for financial sector. by Paramanandan Devanandan.

“…Also interested to find out if users will be able to take advantage of the mining tool to gain competitive edge and provide better services to the customers.…”
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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Subjects: “…Spike…”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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Finding bugs inside IoT devices via static analysis by Lim, Gerald Ze Yang

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Finding common ground on the threshold: an experiment in critical urban learning by Cognetti, Francesca, De Carli, Beatrice

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Finding large additive and multiplicative Sidon sets in sets of integers by Jing, Y, Mudgal, A

The computational complexity of finding stationary points in non-convex optimization by Hollender, A, Zampetakis, M

“…<p>Finding approximate stationary points, i.e., points where the gradient is approximately zero, of non-convex but smooth objective functions f over unrestricted d-dimensional domains is one of the most fundamental problems in classical non-convex optimization. …”

Strike a pose: tracking people by finding stylized poses by Ramanan, D, Forsyth, DA, Zisserman, A

“…We develop an algorithm for finding and kinematically tracking multiple people in long sequences. …”