Ideas from the image processing literature have recently motivated a new set of clustering algorithms that rely on the concept of total variation. While these algorithms perform well for bi-partitioning tasks, their recursive extensions yield unimpressive results for multiclass clustering tasks. This paper presents a general framework for multiclass total variation clustering that does not rely...

Controlling appliances is a main part of automation. The main object of Home automation is to provide a wireless communication link of home appliances to the remote user. The main objective of this work is to make such a system which controls the home appliances remotely. This paper discusses two methods of controlling home appliances one is via voice to text SMS and other is to use the mobile ...

Home Network System(HNS), which connects home appliances and sensors to networks, has been researched actively. HNS makes it possible to remote-control and monitor home appliances. However, use of these services has been limited to home appliances and sensors in HNS.In this paper, we present integrated services combining RSS documents and HNS with our RSS conversion service. In our service, the...

As future home appliances will have many useful built-in functions, a communication network that allows a user to access these built-in functions and to control the appliances is highly desirable. If the home appliances are fitted with a wireless communication module, a wireless ad hoc network can be used to easily connect the appliances. For ease of use the nodes are given names such as “livin...

In the recent years, nonextraction treatment approaches and noncompliance therapies have become more popular in the correction of space discrepancies. One of the conventional approaches for space gaining in the arches without patient compliance is done by using certain extra oral appliances or intraoral appliance. The greatest advantage of certain appliances like fixed functional and molar dist...

Virtual Appliances are a relatively new phenomenon, and expectations vary widely on their use and precise benefits. This paper details some usage models, how requirements vary depending on the environment the appliance runs in, and the challenges connected to them. In particular, appliances for the enterprise have to fit into already existing infrastructure and work with existing sitewide servi...

In this paper, we report a hidden Markov model based multiclass classification of cervical cancer tissues. This model has been validated directly over time series generated by the medium refractive index fluctuations extracted from differential interference contrast images of healthy and different stages of cancer tissues. The method shows promising results for multiclass classification with hi...

Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major drawbacks: (i) it only optimizes the Bayes error for two-class problems where each class is a unimodal Gaussian with different mean, but both classes have equal full rank covariance matrices, and (ii) the multiclass extension does not maximize each pai...

BACKGROUND Brain computer interface (BCI) is an emerging technology for paralyzed patients to communicate with external environments. Among current BCIs, the steady-state visual evoked potential (SSVEP)-based BCI has drawn great attention due to its characteristics of easy preparation, high information transfer rate (ITR), high accuracy, and low cost. However, electroencephalogram (EEG) signals...

In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investigate maintain one prototype vector per class. Given an input instance, a multiclass hypothesis computes a similarityscore between each prototype and the input instance and sets the predicted label to be the index of the p...