Discriminative correlation filters (DCF) have recently shown excellent performance in visual object tracking area. In this paper we summarize the methods of updating model filter from discriminative correlation filter (DCF) based tracking algorithms and analyzes similarities and differences among these methods. We deduce the relationship among updating coefficient in high dimension (kernel tric...

In this paper, we present a novel approach of implementing a combination methodology to find appropriate neural network architecture and weights using an evolutionary least square based algorithm (GALS).1 This paper focuses on aspects such as the heuristics of updating weights using an evolutionary least square based algorithm, finding the number of hidden neurons for a two layer feed forward n...

あらまし 適応アンテナアレーはマルチアクセス干渉を抑圧できるので,移動通信における上りリンク容量を向上できる技 術として期待されている.OFDM 適応アンテナアレーは Pre-FFT 型と Post-FFT 型に分類される.Pre-FFT 型は受信サンプリ ング毎に更新可能であるため,アレー重みの高速収束が可能であることが知られている.一方筆者らは,Post-FFT 型におい ても,各サブキャリアにおいて同一のアレー重みを用いる周波数領域更新 OFDM 適応アンテナアレーであれば,1OFDM シ ンボル当たりサブキャリア数回の更新が可能となるため,高速収束が可能であることを理想チャネル推定時において示してき た.しかしながら提案方式には参照信号生成にチャネル情報が必要であり,チャネル推定精度が BER 特性に大きな影響を 与えると考えられる.本論文では遅延時間領域チャネル推定を用い,...

Background updating is an important aspect of dynamic scene analysis. Two critical problems: sudden camera perturbation and the sleeping person problem, which arise frequently in real-world surveillance and monitoring systems, are addressed in the proposed scheme. The paper presents a multi-color model where multiple color clusters are used to represent the background at each pixel location. In...

The purpose of this paper is to present some relevant theoretical results on the asymptotic behaviour of finite neural networks (on lattices) when they are subjected to fixed boundary conditions. This work focuses on two different topics of interest from the biological point of view. First, it exhibits a link between the possible updating iteration modes in these networks, whatever the number o...

This paper follows up the sensitivity analysis by Andrews, Gentzkow and Shapiro (2017) for biases in GMM estimators due to local violations of identifying assumptions, proposes complementary bias measures that are sensitive different choices weight matrices considering a specific form perturbation. Our method accommodates two-step continuous updating with or without centering. The proposed illu...

Open shortest path first is the most commonly used intera-domain routing protocol. It selects the paths which traffic is routed within autonomous systems. OSPF calculates routes as follow. Each link is assigned weights by operator. Each node within the autonomous system computes shortest paths and creates destination tables to route data to next node along the path to its destination. Shortest ...

In this paper, sparsification techniques aided online prediction algorithms in a reproducing kernel Hilbert space are studied for nonstationary time series. The as usual consist of the selection structure parameters and weight vector updating. For parameters, dictionary is selected by with selective modeling criteria, symmetric covariance matrix intermittently optimized adaptation evolution str...

Fuzzy Cognitive Maps (FCMs) have found many applications in social -financial -political problems. In this paper we propose a method of FCM operation, which can be used to represent and control any real system, including traditional electro-mechanical systems. In the proposed approach the FCM reaches its equilibrium point using direct feedback from the node values of the real system and the lim...

Mobile ad hoc networks (MANETs) are multi-hop wireless networks of mobile nodes constructed dynamically without the use of any fixed network infrastructure. Due to inherent characteristics of these networks, malicious nodes can easily disrupt the routing process. A traditional approach to detect such malicious network activities is to build a profile of the normal network traffic, and then iden...