We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is a variant of the Maximum Margin Markov Network framework, where the classification hierarchy is represented as a Markov tree equipped with an exponential family defined on the edges. We present an efficient optimizati...

Superhydrophobic surfaces should have high contact angles (CA) with water and low contact angle hysteresis (CAH). High CA may be achieved by increasing surface roughness, while in order to have low CAH, superhydrophobic surfaces should be able to form a stable composite interface with air pockets between solid and liquid. Capillary waves, nanodroplets condensation, hydrophilic spots due to chem...

This paper critically examines the use of Analytic Target Cascading as a multi-level, hierarchical design optimization model for formulating simulation-based design tasks in architecture. A case study is used to illustrate the main steps involved in posing and solving an ATC problem. With an emphasis on problem formulation, this study is used as the basis of highlighting issues confronted while...

This paper presents an evolutionary approach to estimating upper-body posture from multi-view markerless sequences. We fit a 24-dof skeleton model to sparse 3-D stereo data from an array of cameras. We use a particle swarm optimization algorithm which is intrinsically parallel, can incorporate constraints and does not require motion models. We subdivide the high-dimensional search space based o...

Particular problem in the management of distributed systems is the optimal resource allocation among the subsystems. When several subsystems of the distributed system use or compete for the use of a common resource, the limited capacity of the resource can give rise to constraint system behavior. Respectively, the fast solution of the resource problems strongly influences the application area o...

Fueled by Moore's Law, VLSI market competition and economic considerations dictates the introduction of new processor's microarchitecture in a two-year cycle called “Tick-Tock” marketing strategy. A new processor is first manufactured in the most advanced stable process technology, followed in a one-year delay by introducing chips comprising same microarchitecture but manufactured in a newer sc...

Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be framed as a non-convex optimization problem. However, the inherent computational difficulty of solving such an optimization problem makes it hard to scale to realworld problems. In another line of research, Toussaint ...

We consider the problem of solving a large number of simple systems of constraints. This problem occurs in the context of databases with very large collections of data while the constraints are over a small number of variables. The methodology we develop is based on a hierarchical evaluation of the constraints which are rst simpliied, and replaced by constraints approximating the initial ones. ...

Clustering is often used for discovering structure in data. Clustering systems diier in the objective function used to evaluate clustering quality and the control strategy used to search the space of clusterings. Ideally, the search strategy should consistently construct clusterings of high quality, but be computationally inexpensive as well. In general, we cannot have it both ways, but we can ...

Please cite this article in press as: Kostavelis, I. doi:10.1016/j.patrec.2011.11.017 In this paper an optimized classification method for object recognition is presented. The proposed method is based on the Hierarchical Temporal Memory (HTM), which stems from the memory prediction theory of the human brain. As in HTM, this method comprises a tree structure of connected computational nodes, whi...