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Price-based control approaches can be derived from the Lagrangian relaxation of the unit commitment problem and provide a scalable framework for solving practical sized optimization problems. The framework postulates an iterative gradient based-pricing mechanism, in which the price signal is used to negotiate the energy exchange between individual market participants. Within this framework shiftable...
The timely and accurate identification of plant species is a persistent challenge as pressure from human activity threatens global flora biodiversity. Most existing research on computer based plant species identification has focused on using leaf contour, signature and spectral analysis techniques alongside textural properties of the leaf lamina. However, these global feature based methods often suffer...
This paper presents a novel comprehensive Fuzzy extension to Multi-Entity Bayesian Networks (MEBN) that is deemed a well-studied and theoretically rich language that expressively handles semantics analysis, and effectively model uncertainty management. However, MEBN lack the capability of modeling the inherent conceptual and structural ambiguity that is delivered with the knowledge gained through...
The retrieval and recommendation of social media have provided an immense opportunity to exploit the collective behavior of community users through linked multi-modal data, such as images and tags, where tags provide context information, and images represent visual content. The stability of content information is more reliable than user contributed context information, which was ignored by many existing...
Recent years have witnessed a growing interest in modeling user behaviors in multimedia research, emphasizing the need to consider human factors such as preference, activity, and emotion in system development and evaluation. Following this research line, we present in this paper the LiveJournal two-million post (LJ2M) dataset to foster research on user-centered music information retrieval. The new...
Web service filtering is an efficient approach to address some big challenges in service computing, such as discovery, clustering and recommendation. The key operation of the filtering process is measuring the similarity of services. Several methods are used in current similarity calculation approaches such as string-based, corpus-based, knowledge-based and hybrid methods. These approaches do not...
With the incessant growth of Web services on the Internet, designing effective Web service recommendation technologies based on Quality of Service (QoS) is becoming more and more important. Neighborhood-based Collaborative Filtering has been widely used for Web service recommendation, in which similarity measurement and QoS prediction are two key steps. However, traditional similarity models and QoS...
Recurrent neural network language models have solved the problems of data sparseness and dimensionality disaster which exist in traditional N-gram models. RNNLMs have recently demonstrated state-of-the-art performance in speech recognition, machine translation and other tasks. In this paper, we improve the model performance by providing contextual word vectors in association with RNNLMs. This method...
We investigate communicative strategies used by humans in negotiation dialogues. The empirical material of the study is a small sub-corpus of telemarketing calls. Our aim is to develop software for automatic pragmatic analysis of dialogues which can be used by linguists for recognition of dialogue acts, communicative strategies and the structure of a dialogue. The further aim is to implement the results...
We show that most algebraic circuit lower bounds and relations between lower bounds naturally fit into the representation-theoretic framework suggested by geometric complexity theory (GCT), including: the partial derivatives technique (Nisan-Wigderson), the results of Razborov and Smolensky on AC^0[p], multilinear formula and circuit size lower bounds (Raz et al.), the degree bound (Strassen, Baur-Strassen),...
In this paper, we represent a dynamic context-dependent weighting method for vector space model. A meaning is relatively decided by a context dynamically. A vector space model, including latent semantic indexing (LSI), etc. relatively measures correlations of each target thing that represents in each vector. However, the vectors of each target thing in almost method of the vector space models are...
This paper addresses basic aspects of reversible and quantum computing in the context of ternary systems. Ternary extensions of the Pauli matrices are presented and interactions with the Vilenkin-Chrestenson matrix are disclosed. The realization of extended ternary Toffoli gates under the Barenco et al. type of structure is shown not to be possible without ancillary lines, meanwhile a Sasanian-Wang-Perkowski...
We address the problem of efficient coordination protocols in the contexts where mobile and ad-hoc devices which harbor the selfish agents must achieve a set of dynamic tasks. This work assumes that, due to the dynamic behaviors of the agents induced by the unpredictable availability of these devices and the dynamic of the tasks, it is not possible to devise an efficient coordination which uses prior...
This paper proposes a framework for learning human-provided category labels that describe individual objects, pairwise object relationships, as well as groups of objects. The framework was evaluated using an experiment in which the robot interactively explored 36 objects that varied by color, weight, and contents. The proposed method allowed the robot not only to learn categories describing individual...
We propose a nested Dantzig-Wolfe decomposition, combined with dynamic programming, for the distributed scheduling of a large heterogeneous fleet of residential appliances with nonlinear behavior. A cascaded column generation approach gives a scalable optimization strategy, provided that the problem has a suitable structure. The presented approach extends the TRIANA smart grid framework for predictive...
A set of unimodular (or binary) code vectors is complementary if the sum of the aperiodic autocorrelation sidelobes is zero, for every sidelobe. Complementary code sets are constructed using a matrix formulation in which code vectors form the columns of a matrix, called a Complementary Code Matrix, or CCM. Known construction methods for Hadamard matrices are examined and found to apply to the larger...
As one of the key technologies for next generation wireless communication systems, Device-to-Device (D2D) communication is able to offer several benefits, e.g. low end-to-end latency and traffic offload. In particular network controlled D2D operation underlaying the primary cellular system, e.g. LTE, and reusing its radio resources, is seen as an appealing option for increasing system capacity. However,...
The aim in the present paper remains to describe a system identification method for unmanned marine vehicles using interval analysis in order to come up with estimation of parameter intervals instead of real values, such that the actual dynamics of the system shall remain confined within guaranteed bounds. The bounds are propagated through the system equations using such interval based parameters...
Spectral methods have been extensively studied for point pattern matching. In this work, we aim to render the spectral matching algorithm more robust for positional jitter and outliers. We concentrate on the issue of spectral representation for point patterns. A local structural descriptor, called the line graph spectral context, is proposed to characterize the attribute of point patterns, making...
Over the last decade speaker recognition has witnessed significant advances, with successful developments in Factor Analysis (FA) and more recently i-vectors, more than halving the error rates achieved by the classical UBM/GMM approach. However when very short duration utterances are considered, it is known that these improvements are much less. This paper begins with a review of the recent developments...
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