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An intriguing argument that deceit is a beneficial evolutionary "deep feature" of life.
In this paper, we design a deep feature based framework for breast mass classification task.
We present a novel multi-modal deep feature learning architecture for RGB-D object detection.
…[Robert] Trivers calls deceit a "deep feature" of life, even a necessity, given genes' brutal struggle to prevail.
Trivers calls deceit a "deep feature" of life, even a necessity, given genes' brutal struggle to prevail.
To address this problem, an effective HOG-assisted deep feature learning (HDFL) method is proposed in this paper.
In this paper, we propose a group-aware deep feature learning (GA-DFL) approach for facial age estimation.
A multiscale deep feature learning (MDFL) method with hybrid models is proposed in this paper to deal with the daily reservoir inflow forecasting.
Amazement — great wonder tempered by perplexity and even disorientation — is a deep feature of the Web; its users seek it, cultivate it and register it on message boards.
Experiments show that deep feature based systems achieve good performance, even without using any designed features such as phase and cochlea features common in spoofing detection, and obtain significant performance improvements compared to the traditional baselines.
The EER of the best deep feature system achieves nearly 0.0% for all attack types from S1 to S9, and gets 1.1% on all averaged conditions (plus S10), which is very promising performance in ASVspoof2015 Challenge task.
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