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Well-performed audio narrations are a hallmark of captivating podcasts, explainer videos, radio stories, and movie trailers. To record these narrations, professional voiceover actors follow guideli...
Existing fixed-length feedback communication schemes are either specialized to particular channels (Schalkwijk–Kailath, Horstein), or apply to general channels but either have high coding comple...
Bounds on the output entropy of the additive white Gaussian noise (AWGN) channel with feedback are used to prove that the capacity of the degraded additive white Gaussian noise (DAWGN) broadcast chann...
Continuously growing needs for Internet applications that transmit massive amount of data have led to the emergence of high speed network. Data transfer must take place without any congestion and h...
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
Most of existing work on sports video analysis concentrates on highlight extraction. Few efforts devoted to the important issue as how to organize the extracted highlights which is adapt for the user ...
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking framework to effectiv...
Decision Feedback equalizers (DFEs) usually outperform linear equalizers for channels with intersymbol interference. However, the DFE performance is highly dependent on the availability of reliable...
Adaptive relevance feedback based on Bayesian inference for image retrieval.
The paper proposes a new approach based on Joint Entropy Maximisation (JEM) using a soft decision feedback equalizer (S-DE) to suppress error propagation. In its first section, the paper presents th...

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