This paper introduces the end-to-end embedding of a CNN into a HMM, while interpreting the outputs of the CNN in a Bayesian fashion. The hybrid CNN-HMM combines strong discriminative abilities of CNNs with sequence modeling capabilities of HMMs. Most current approaches in the field of gesture and sign language recognition disregard the necessity of dealing with sequence data both for training a...

The term “end-to-end verifiability” has been used over the past several years to describe multiple voting system proposals. The term has, however, never been formally defined. As a result, its meaning tends to change from voting system to voting system. We propose a definition for end-to-end verifiability of public elections based on performance requirements, as opposed to design requirements. ...

Helios is a web-based end-to-end verifiable electronic voting system which has been said to be suitable for low-coercion environments. Although many Internet voting schemes have been proposed in the literature, Helios stands out for its real world relevance. It has been used in a number of elections in university campuses around the world and it has also been used recently by the IACR to elect ...

The great end-to-end delays are the major factor to influence the visual quality of real-time video across the Internet using TCP as transport layer protocol. In this paper, we present a video frame schedule scheme for rate adaptive real-time video transmission over TCP. The scheme schedules video frames between the application layer sender-buffer, the TCP sender-buffer and TCP receiver-buffer ...

SUMMARY Differentiated-services model has been prevailed as a scal-able solution to provide quality of service over the Internet. Many researches have been focused on per hop behavior or a single domain behavior to enhance quality of service. Thus, there are still difficulties in providing the end-to-end guaranteed service when the path between sender and receiver includes multiple domains. Fur...

Previous part-based attribute recognition approaches perform part detection and attribute recognition in separate steps. The parts are not optimized for attribute recognition and therefore could be sub-optimal. We present an end-to-end deep learning approach to overcome the limitation. It generates object parts from key points and perform attribute recognition accordingly, allowing adaptive spa...

A virtual reality (VR) system tracks one or more objects to generate the depiction of a virtual environment from the user’s vantage point. No system achieves this instantaneously: changes in the depicted virtual environment are delayed from changes in the position of the objects being tracked. In this paper, a method is proposed to quantify this time difference, the end-to-end delay of the VR s...

We provide a suite of impossibility results and lower bounds for the required number of processes and rounds for synchronous consensus under transient link failures. Our results show that consensus can be solved even in presence of O(n) moving omission and/or arbitrary link failures per round, provided that both the number of affected outgoing and incoming links of every process is bounded. Pro...

A high performance, frame-based, real-time ATM scheduler is proposed for the wireless multimedia environment. We introduce the Delayed Frame Queueing (DFQ) scheduling protocol which only defines the service priorities, deadlines and eligibility times of queued cells. The DFQ protocol does not define the particular fashion in which a mobile or base station gains access to the shared transmission...

Service Level Agreements (SLA) are needed to allow business interactions to rely on Internet services. Service Level Objectives (SLO) specify the committed performance level of a service. Thus, SLA compliance auditing aims at verifying these commitments. Since SLOs for various application services and end-to-end performance definitions vary largely, automated auditing of SLA compliances poses t...