This paper describes the experiments carried out as part of the participation in FIRE-2014 Transliterated Search Shared task. We participated in subtask-2 and submitted two results generated by systems based on relevant feedback approach. Given a collection of documents in mixed script, the task is to retrieve relevant documents using queries in either script. The spelling variation between dif...

We perform an analytical study of the external cavity modes of a semiconductor laser subject to conventional optical feedback as modeled by the well-known Lang-Kobayashi equations. Specifically, the bifurcation set is derived in the threedimensional parameter space of feedback phase, feedback strength and pump current of the laser. Different open regions in this space correspond to different nu...

OBJECTIVE To investigate a new approach for query expansion based on retrieval feedback. The first objective in this study was to examine alternative query-expansion methods within the same retrieval-feedback framework. The three alternatives proposed are: expansion on the MeSH query field alone, expansion on the free-text field alone, and expansion on both the MeSH and the free-text fields. Th...

In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of interactive image segmentation. The idea is to treat the relevant and non-relevant images labeled by the user at every feedback round as “seed” nodes for the random walker problem. The ranking score for each unlabeled imag...

A random laser is a non-conventional laser whose feedback mechanism is based on disorder-induced light scattering. Depending on whether the feedback supplied by scattering is intensity feedback or amplitude feedback, random lasers are classified into two categories: random lasers with incoherent feedback and random lasers with coherent feedback. A brief survey of random lasers with incoherent f...

During visual category learning, full feedback (e.g., "Wrong, that was a category 4."), relative to minimal feedback (e.g., "Wrong."), enhances performance when the relevant dimensions are separable. This pattern is reversed with inseparable dimensions. Here, the interaction between trial-by-trial feedback and separability of dimensions in the auditory domain is examined. Participants were trai...

The Status of National-Religious Identity in High School Farsi Textbooks Y. Ma'roofi, Ph.D. S. Panaahi Tavaanaa To discover the extent to which the subject of national-religious identity is covered in high school Farsi textbooks in literature, all such textbooks (a total of 8) were content analyzed utilizing a check list of relevant indices. The validity of the instrument was asse...

since the emergence of the process-oriented approach to second language writing instruction two main questions have been what and how error feedback should be given to the students. the question of whether teachers should provide feedback on grammar in the writing assignments of english as a foreign language students, and if so how, has been a matter of considerable debate in the field of secon...

Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a suitable approach for non-intrusively closing the loop in recommender systems using ambient eye-trackers. We combine a method for acquiring relevance feedback through eye-tracking with the functionalities of an extractor...

The conventional image retrieval methods like Google, Bingo, Yahoo are based on the on textual annotation of images to access the large collection of relevant database images. Then Content Based Image Retrieval (CBIR) is a technique, which takes visual contents of image to retrieve relevant images from large databases. In Content Based Image Retrieval, there is a semantic gap between the low le...