Special Libraries, January 1962

Volume 53, Issue 1https://scholarworks.sjsu.edu/sla_sl_1962/1000/thumbnail.jp

Learning spatio-temporal representations for action recognition: A genetic programming approach

Extracting discriminative and robust features from video sequences is the first and most critical step in human action recognition. In this paper, instead of using handcrafted features, we automatically learn spatio-temporal motion features for action recognition. This is achieved via an evolutionary method, i.e., genetic programming (GP), which evolves the motion feature descriptor on a population of primitive 3D operators (e.g., 3D-Gabor and wavelet). In this way, the scale and shift invariant features can be effectively extracted from both color and optical flow sequences. We intend to learn data adaptive descriptors for different datasets with multiple layers, which makes fully use of the knowledge to mimic the physical structure of the human visual cortex for action recognition and simultaneously reduce the GP searching space to effectively accelerate the convergence of optimal solutions. In our evolutionary architecture, the average cross-validation classification error, which is calculated by an support-vector-machine classifier on the training set, is adopted as the evaluation criterion for the GP fitness function. After the entire evolution procedure finishes, the best-so-far solution selected by GP is regarded as the (near-)optimal action descriptor obtained. The GP-evolving feature extraction method is evaluated on four popular action datasets, namely KTH, HMDB51, UCF YouTube, and Hollywood2. Experimental results show that our method significantly outperforms other types of features, either hand-designed or machine-learned

Pre- service Unab EFL teachers belief about vocabulary instruction

Tesis (Profesor de Inglés para la Enseñanza Básica y Media y al grado académico de Licenciado en Educación)Este estudio mixto, tomó lugar en la Universidad Andrés Bello ubicada en Santiago de Chile, en el cual 26 estudiantes de tercer año, los cuales cursan su primera práctica en la carrera de Pedagogía en Inglés, participaron en nuestro estudio. El propósito general de nuestro estudio, fue determinar las creencias que los profesores en práctica de la Universidad Andrés Bello tenían sobre cómo el vocabulario debería ser enseñado durante la educación primaria y secundaria en el contexto chileno. Durante el estudio, nos enfocamos en tres objetivos los cuales implican conocer las creencias que los profesores en práctica tenían sobre la instrucción de vocabulario, sus creencias de cómo debería llevarse a cabo, además de conocer cómo sus experiencias pasadas han influenciado sus creencias sobre la instrucción del vocabulario. El método utilizado para recolectar la información necesaria consistió de dos fases. La primera fase, involucró un cuestionario en el cual 26 profesores en práctica participaron, para luego pasar a la fase de entrevistas en la cual 4 de los participantes anteriores fueron seleccionados para ser entrevistados. Lo que este estudio evidencia, es el entusiasmo que los profesores en práctica de la UNAB demuestran respecto a la implementación de métodos y técnicas más atractivas para los estudiantes y, consecuentemente, ellos consideran el vocabulario como algo importante para el aprendizaje de un segundo idioma. Sin embargo, hay cierta confusión e inconsistencia en algunos conceptos y en la forma de cómo debería llevarse a cabo concretamente la instrucción de vocabulario. Sin embargo, pareciera que lo único que hace falta para formar profesores competentes y eficientes en la instrucción de vocabulario es guiar mejor a los profesores en práctica en este aspectoThis mixed-method study took place at Universidad Andres Bello (UNAB), located in Santiago, Chile, in which 26 third year pre-service }teachers enrolled in the English Teaching Program of the university participated in our study. The objective of the present study was to determine the beliefs that EFL pre-service teachers at UNAB held about how vocabulary should be taught in schools in the Chilean context. The study had three main aims which were to firstly determine what participants believed and knew about vocabulary instruction, to determine which methods and strategies they believed more effective to teach vocabulary, and finally to determine how previous experiences have influenced their beliefs about vocabulary instruction. The approach taken to collect the necessary information consisted of two phases. The first phase involved a questionnaire where 26 pre-service teachers participated and then an interview phase where 4 pre-service teachers were interviewed. What the study evidenced is that pre-service teachers from UNAB are very enthusiastic about implementing more appealing methods and strategies for students, and consequently, they consider vocabulary quite important when learning a second language. However, some confusion and inconsistency is shown upon some concepts and the way vocabulary should concretely be carried taught. Nevertheless, only slight guidance may be necessary to form proficient and prepared English teachers

THE EFFECT OF EMOTION AND CULTURE IN ONLINE NEWS IMAGES ON MEMORY AND ATTRIBUTION ASSESSMENT OF SUBSEQUENT TEXT

This study is an experiment exploring the effect of emotion-laden and culturally salient news images on the processing of the subsequent news text in the online news setting. It argued that emotional and cultural elements carried in the news images can act as influential "heuristics" that jointly define the memory specificity and attribution judgment of the news text. This study pursued the concept of "culture" as it affects processing at a psychological level from both a dimensional perspective and a dynamic-constructivist approach. From a dynamic constructivist perspective, this study investigated the difference in the effect of seeing news photos portraying Chinese versus European Americans on news readers' memory and attribution of the text. From a dimensional view, it also examined the possible differences in attribution and memory as a result of the readers' own cultural identity, as being either European American or Chinese. The experiment used a 2X2X2 repeated measures design. The three factors included image emotion (positive vs. negative: within-subject), image culture (Chinese individual vs. European American individual: within-subject), and participant culture (Chinese vs. European American: between-subject). Twenty four non-student American adults and twenty four non-student Chinese adults (who had just come to the United States from Mainland China for a short visit) participated in the experiment. Four different news topics that would be salient to members of both cultures were used. To minimize the unmeasured effects of any given stimulus topic, a repeated measures design was employed. The results showed that news images alone did not have a significant impact on the overall memory for information in the news text. However, negative news images "narrowed" participants' memory, making them significantly less likely to recall the "peripheral" non-integral news information accurately, but this trend was prominent only when the images showed someone of the reader's own cultural group. The data also indicated that after viewing negative news images, participants were four times more likely to attribute the news event to external situational causes rather than dispositional factors of the main figure in the news. This trend was least noticeable when the image portrayed European Americans and most dominant when the photo showed Chinese. Other findings are discussed in detail

A Survey on Ear Biometrics

Recognizing people by their ear has recently received significant attention in the literature. Several reasons account for this trend: first, ear recognition does not suffer from some problems associated with other non contact biometrics, such as face recognition; second, it is the most promising candidate for combination with the face in the context of multi-pose face recognition; and third, the ear can be used for human recognition in surveillance videos where the face may be occluded completely or in part. Further, the ear appears to degrade little with age. Even though, current ear detection and recognition systems have reached a certain level of maturity, their success is limited to controlled indoor conditions. In addition to variation in illumination, other open research problems include hair occlusion; earprint forensics; ear symmetry; ear classification; and ear individuality. This paper provides a detailed survey of research conducted in ear detection and recognition. It provides an up-to-date review of the existing literature revealing the current state-of-art for not only those who are working in this area but also for those who might exploit this new approach. Furthermore, it offers insights into some unsolved ear recognition problems as well as ear databases available for researchers

Intellectual Capital: a Focus on Human Capital Reporting Practices of Top Malaysian Listed Companies

This paper aims to examine the extent of human capital (HC) reporting among top Malaysian companies and introduce an HC reporting guideline that can be used by Malaysian companies and regulator. It begins by developing the HC framework based on previous intellectual capital (IC) frameworks. This framework is then used to examine each of the top 100 Malaysian companies listed on the Bursa Malaysia in year 2008. Using the content analysis method, it reviews the annual reports of these companies to determine the extent of HC reporting. The findings of this paper highlight the need for the development of IC framework particularly on HC. HC differences were also identified between Malaysia and other countries such as Sri Lanka and Australia, and it is argued that these differences can be attributed to the social, economic, and political factors

A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications

Sentiment analysis (SA) is an emerging field in text mining. It is the process of computationally identifying and categorizing opinions expressed in a piece of text over different social media platforms. Social media plays an essential role in knowing the customer mindset towards a product, services, and the latest market trends. Most organizations depend on the customer's response and feedback to upgrade their offered products and services. SA or opinion mining seems to be a promising research area for various domains. It plays a vital role in analyzing big data generated daily in structured and unstructured formats over the internet. This survey paper defines sentiment and its recent research and development in different domains, including voice, images, videos, and text. The challenges and opportunities of sentiment analysis are also discussed in the paper. \keywords{Sentiment Analysis, Machine Learning, Lexicon-based approach, Deep Learning, Natural Language Processing