3,552 research outputs found

    Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

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    Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a frame, the same pedestrian is expected to appear close to the same location in neighbor frames. Therefore, such a location has chances of receiving high classification scores during several frames, while false positives are expected to be more spurious. In this paper we propose to exploit such correlations for improving the accuracy of base pedestrian classifiers. In particular, we propose to use two-stage classifiers which not only rely on the image descriptors required by the base classifiers but also on the response of such base classifiers in a given spatiotemporal neighborhood. More specifically, we train pedestrian classifiers using a stacked sequential learning (SSL) paradigm. We use a new pedestrian dataset we have acquired from a car to evaluate our proposal at different frame rates. We also test on a well known dataset: Caltech. The obtained results show that our SSL proposal boosts detection accuracy significantly with a minimal impact on the computational cost. Interestingly, SSL improves more the accuracy at the most dangerous situations, i.e. when a pedestrian is close to the camera.Comment: 8 pages, 5 figure, 1 tabl

    Selecting the Class of All 3-Valued Implicative Expansions of Kleene's Strong Logic Containing Routley and Meyer's Logic B

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    We define all implicative expansions of Kleene's strong 3-valued matrix (with both only one and two designated values) verifying Routley and Meyer's basic logic B. Then, the logics determined by each one of these implicative expansions are axiomatized by using a Belnap-Dunn "two-valued" semantics. This semantics is "overdetermined" in the case of two designated values, and "underdetermined" when there is only one.SIMinisterio de Economía, Industria y Competitivida

    Femtosecond time-resolved phase-change microscopy and ablation threshold calculations to understand ultrafast laser ablation

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    El trabajo recoge experimentos realizados en una configuración sonda-prueba haciendo uso de un láser de femtosegundos, con el objetivo de comprender los fenómenos de ablación de materiales sólidos ras irradiación con láseres de pulso ultracorto.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    Web promotion, innovation and postgraduate e-learning programs.

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    This study analyzes the diffusion that the main Spanish universities carry out in their corporate web pages in relation to the e-learning programs, both semi-online and online. The objective is to know if this diffusion takes into account the communication of methodological aspects and trends that could be differentiators of an innovative offer.To this end, the most prestigious Spanish universities (public and private) have been selected, as well as those relevant in the field of e-learning. Subsequently, using the methodology "Counting methods" (Law, Qi and Buhalis, 2010), (translated into Spanish as method of itemization), the websites of each of the 689 programs offered have been analyzed. The research allows identifying the common variables used in the web promotion of all universities, and contrasts the presence of the main trends in e-learning as differentiating elements of a competitive offer.

    Relational Semantics for the Paraconsistent and Paracomplete 4-valued Logic PŁ4

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    [EN] The paraconsistent and paracomplete 4-valued logic PŁ4 is originally interpreted with a two-valued Belnap-Dunn semantics. In the present paper, PŁ4 is endowed with both a ternary Routley-Meyer semantics and a binary Routley semantics together with their respective restriction to the 2 set-up cases.SIMinisterio de Ciencia e Innovación (MCIN/AEI/ 10.13039/501100011033

    Investor sentiment in the theoretical field of behavioural finance

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    Investor sentiment is a research area in the theoretical field of behavioural finance that analyses the sentiment of investors and the way it influences stock market activity. Recently, there has been an increase in the number of publications in this area, which indicates its incremental relevance. To date, there is no consensus on the theoretical structure of behavioural finance nor on the investor sentiment research area. We have used co-citation, bibliographic coupling and co-occurrence analysis to provide an overview of the structure of investor sentiment. Therefore, this study contributes to defining the theoretical structure of investor sentiment by identifying the foundations of the research area and main journals, references, authors, or keywords, which represent the core of knowledge of this research area. The results obtained suggest that investor sentiment is related to efficient market theory and behavioural finance theories. Furthermore, investor sentiment is a relevant research field, especially since 2014. Advances in computer science or theories based on physics or mathematics can help to better define the influence of investor sentiment on stock markets. This study advances research on investor sentiment within the field of behavioural finance, thus showing its relevance
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