A novel online action recognition method for fast detection of compound actions.A key contribution is a transfer learning strategy from simple to complex datasets.Another key contribution is an automatically configured hierarchical body ...

Three results are shown on producibility in the hierarchical model of tile self-assembly. It is shown that a simple greedy polynomial-time strategy decides whether an assembly is producible. The algorithm can be optimized to use $$O(|\alpha | \log ^2 |\...

We introduce a new property of tile self-assembly systems that we call size-separability. A system is size-separable if every terminal assembly is a constant factor larger than any intermediate assembly. Size-separability is motivated by the practical ...

In this paper, an efficient VLSI architecture of a hierarchical block matching algorithm has been proposed for motion estimation. At the lowest resolution level, two motion vector (MV) candidates are selected to get better performance. In the next ...

A hierarchical temporal model is used to estimate head pose in real-world videos.Head pose classification in (un)constrained databases shows superior performance.Proposed model is used to classify facial traits in real-world videos.Trait classification ...

This paper proposes a hierarchical hybrid particle swarm optimization (PSO) and differential evolution (DE) based algorithm (HHPSODE) to deal with bi-level programming problem (BLPP). To overcome the shortcomings of basic PSO and basic DE, this paper ...

The resource discovery is one of the most important services in Grid systems because providing the resources is critical to handle the applications. But some inherent characteristics of Grid environments such as large-scale and dynamicity make the ...

This paper deals with the design and evaluation of a reliable middleware for multiple Mixed-Core Sytem-on-Chips. The middleware should thereby be responsible for the distribution of tasks among the processing elements. Additional to the requirement of a ...

This paper presents a Hierarchical Markovian Radial Basis Function Neural Network (HiMarkovRBFNN) model that enables recursive operations. The hierarchical structure of this network is composed of recursively nested RBF Neural Networks with arbitrary ...

Out of the abundant digital image data available, multispectral imagery is one which gives us information about the earth we live in. To gain knowledge from multispectral imagery, it is essential to classify the data present in the image based on ...

A hierarchical cloud infrastructure involving cloud, cluster, and node controllers is the most preferred deployment architecture by the cloud providers since it helps them to achieve the desired scalability and geographical distribution. In this ...

Data is increasingly distributed across heterogeneous networks of mobile nodes such as distributed smartphone applications, where nodes' access to resources such as battery power, connectivity, or computing power varies, but must still be reliably ...

Most existing image classification algorithms mainly focus on dealing with images with only "object" concepts. However, in real-world cases, a great variety of images contain "verb---object" concepts, rather than only "object" ones. The hierarchical ...

The process of developing a system for an Unnamed Aerial Vehicle (UAV) control is a complex task that we should be able to implement a set of elaborated algorithms with specific features as fast response for non-linear inputs, fault tolerance and easy ...

This paper presents a novel approach in tracing traitors field. It proposes a multi-level hierarchical structure to the used probabilistic fingerprinting code; the well known Tardos code. This proposed structure is performed to address the problem of ...

In heterogeneous distributed cloud systems, load balance, communication and synchronization overhead must be taken considered. A hierarchical distributed loop self-scheduling scheme is effective and efficient for scientific loop applications. In this ...

Hierarchical clustering problem is a traditional topic in computer science, which aims to discover a consistent hierarchy of clusters with different granularities. One of the most important open questions on hierarchical clustering is the identification ...

This paper presents a graphical environment for the annotation of still images that works both at the global and local scales. At the global scale, each image can be tagged with positive, negative and neutral labels referred to a semantic class from an ...

Restricting the usage of a team of robots to a few expert human users can be disadvantageous. In applications such as exploration, it may not always be possible for human experts to travel to sites, resulting in negative consequences. It is preferable ...

The primary objective in a typical hierarchical facility location problem is to determine the location of facilities in a multi-level network in a way to serve the customers at the lowest level of hierarchy both efficiently (cost minimization objective) ...