What do U-Note? An Augmented Note Taking System for the Classroom

We present U-Note, a new system that helps children to study their lessons. It links a paper notebook and digital documents in order to reconstruct the context of the class. This system makes it possible for students to browse the teacher’s documents at the state it was when he wrote the words he is currently reading. The student can also add information he found on internet. We first discuss the interviews we had with teachers, that led to the design of the system. Then we describe the system itself, which consists of a capture system, and a browsing application. Author Keywords Augmented classroom, digital pen, Digital lecturing environment, capture and acces

What do U-Note? An Augmented Note Taking System for the Classroom

We present U-Note, a new system that helps children to study their lessons. It links a paper notebook and digital documents in order to reconstruct the context of the class. This system makes it possible for students to browse the teacher’s documents at the state it was when he wrote the words he is currently reading. The student can also add information he found on internet. We first discuss the interviews we had with teachers, that led to the design of the system. Then we describe the system itself, which consists of a capture system, and a browsing application. Author Keywords Augmented classroom, digital pen, Digital lecturing environment, capture and acces

Effect of facial cues on identification

In this work we study factors that may influence the identification of single facial actions (e.g., frown or cheek raising), namely their intensity, dynamics and the application of wrinkles. Results of our evaluation study show that single facial actions are better identified when they are dynamic and with higher intensity. On the other hand, intense expressions of single facial actions are perceived less natural and less realistic. In this paper we also describe our wrinkles model. From our evaluation study, we found that wrinkles did not improve significantly the identification of facial actions

A Data-Mining Approach to Travel Price Forecasting

Abstract—With the advent of yield management in the air travel industry, a large body of data-mining techniques have been developed over the last two decades for the purpose of increasing profitability of airline companies. The mathematical optimization strategies put in place resulted in price discrimination, similar seats in a same flight being often bought at different prices, depending on the time of the transaction, the provider, etc. It is the goal of this paper to consider the design of decision-making tools in the context of varying travel prices from the customer’s perspective. Based on vast streams of heterogeneous historical data collected through the internet, we describe here two approaches to forecasting travel price changes at a given horizon, taking as input variables a list of descriptive characteristics of the flight, together with possible features of the past evolution of the related price series. Though heterogeneous in many respects ( e.g. sampling, scale), the collection of historical prices series is here represented in a unified manner, by marked point processes (MPP). State-of-the-art supervised learning algorithms, possibly combined with a preliminary clustering stage, grouping flights whose related price series exhibit similar behavior, can be next used in order to help the customer to decide when to purchase her/his ticket. Index Terms—prediction; machine learning; I

Spécialité « Électronique et Communication » présentée et soutenue publiquement par

Contremesures au niveau logique pour sécuriser les architectures de crypto-processeurs dans un FPGA Directeur de thèse: Jean-Luc DANGER Co-encadrement de la thèse: Tarik GRAB

Querying Data Sources That Export Infinite Sets of Views ABSTRACT

We study the problem of querying data sources that accept only a limited set of queries, such as sources accessible by Web services which can implement very large (potentially infinite) families of queries. We revisit a classical setting in which the application queries are conjunctive queries and the source accepts families of conjunctive queries specified as the expansions of a (potentially recursive) Datalog program. We say that query Q is expressible by the program P if it is equivalent to some expansion of P. Q is supported by P if it has an equivalent rewriting using some finite set of P’s expansions. We present the first study of expressibility and support for sources that satisfy integrity constraints, which is generally the case in practice. 1

The SNCD as a Metrics for Image Quality Assessment Avid Roman-Gonzalez

Abstract—In our era, when we have a lot of instrument to capture digital images and they go more in more increasing the image resolution; the quality of the images become very important for different application, and the development tool to quality assessment is a current issue. In this paper, we propose to use the Symmetric Normalized Compression Distance (SNCD) as a metrics for the measurement of image quality, especially when we analyze residual errors. We also show performance comparisons of other metrics that we can found in the various research literatures and the SNCD. We also present an analysis about the performance of the SNCD depending to the type of distortion. Keywords—Quality metrics; NCD; SNCD; Kolmogorov complexity; image quality. I

ENTIRE TEXT: 1100 words

The biological function of human reasoning abilities cannot be to improve shared knowledge. This is at best a side-effect. A more plausible function of argumentation, and thus of reasoning, is to advertise one’s ability to detect lies and errors. Such selfish behavior is closer to what we should expect from a naturally selected competence. I fully support HM & DS‟s central claim that deliberative reasoning is a byproduct of argumentative competence. But if the function of reasoning is argumentation, what is the (biological) function of argumentation? According to HM & DS, argumentative reasoning improves “both in quantity and in epistemic quality the information humans are able to share”, and thanks to it, “human communication is made more reliable and more potent”. If the biological function of reasoning is to achieve shared knowledge optimization (SKO), as suggested in the target article, then why do people show obvious limitations such as confirmation bias? HM & DS answer that information quality is optimized, not at the individual level, but at the group level. It would even be a goo

Mathieu Lagrange

Rhythm is one of the main properties of Western tonal music. Existing content-based retrieval systems generally deal with melody or style. A few existing ones based on meter or rhythm characteristics have been recently proposed but they require a precise analysis, or they rely on a low-level descriptor. In this paper, we propose a midlevel descriptor: the Meter Class Profile (MCP). The MCP is centered on the tempo and represents the strength of beat multiples, including the measure rate, and the beat subdivisions. The MCP coefficients are estimated by means of the autocorrelation and the Fourier transform of the onset detection curve. Experiments on synthetic and real databases are presented, and the results demonstrate the efficacy of the MCP descriptor in clustering and retrieval of songs according to their metric properties. 1

Outage Probability Formulas for Cellular Networks: Contributions for MIMO, CoMP and Time Reversal Features

pour obtenir le grade de docteur délivré pa