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How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called graph-based SFA (GSFA). The algorithm extracts a label-predictive low-dimensional set of features that can be post-processed by typical supervised algorithms to generate the final label or class estimation. GSFA is trained with a so-called training graph, in which the vertices are the samples and the edges represent similarities of the corresponding labels. A new weighted SFA optimization problem is introduced, generalizing the notion of slowness from sequences of samples to such training graphs. We show that GSFA computes an optimal solution to this problem in the considered function space, and propose several types of training graphs. For classification, the most straightforward graph yields features equivalent to those of (nonlinear) Fisher discriminant analysis. Emphasis is on regression, where four different graphs were evaluated experimentally with a subproblem of face detection on photographs. The method proposed is promising particularly when linear models are insufficient, as well as when feature selection is difficult
How to Kill a Computer Model of Short Term Memory in Psychological Review\ud Part I: Separate Fittings of Experimental Data
The short term memory field is inundated with computer models purporting to describe the workings of our mind. I show that several of them are not based in science: they use parameters that do not have intrinsic values but are simply separately fitted to each experimental situation, in effect treating each memory experiment as having different-species subjects
Determinants and Associated Disability of Leprosy Patients Attending GMLF, Sevagram
Background: Leprosy, as an oldest disease known to a man and already eliminated from India in 2005, still poses a public health problem with steady new case detection rate. Method: The present study was carried out in Gandhi memorial leprosy foundation, Wardha, with the aim to find out proportion of multibacillary leprosy cases and various grading of disability and factors associated with it in this part of country. All the successive new OPD patients were included in study and examined for type of leprosy and grade of disability if present. Analysis done by Descriptive statistics. Result: 66 % had multibacillary type of leprosy and 44 % the disability. Higher age group, females, illiterate and less educated, unskilled and low income group were mostly affected. Conclusion: high proportion of multibacillary cases and disabilities reflects the need for active thrust to identify new cases
Healthcare Seeking Behaviour for Symptoms of Reproductive Tract Infections among Rural Married Women in Tamil Nadu - A Community Based Study
Introduction: Reproductive tract infections including sexually transmitted infections (RTI/STIs) are problems of public health priority compromising the reproductive health of women especially in developing countries. The problem is compounded by the poor health care seeking behaviour among women due to lack of awareness and sociocultural factors. Objectives: This study is an attempt to assess the health care seeking behaviour of women reporting RTI symptoms in a rural area of Tamil Nadu state of India and to examine the association of background sociodemographic characteristics with Health care seeking behaviour. Methodology: This was a cross sectional, descriptive study conducted between March to November 2011, among married women aged 18-45 years in a rural area of Kancheepuram district, Tamil Nadu in India. The required sample size was chosen by simple random sampling. The participants were administered a standardized, semi-structured schedule. Results: 520 women participated in the study. 173 women (33.3%) of women reported experiencing symptoms of RTI/STI in the past 12 months. Only 51.45% of those who had RTI/STI symptoms sought health care. Private health care facility was preferred by nearly two-thirds. The health care seeking behaviour showed significant association with age group of women, religion, occupational status, type of family and socioeconomic status. Conclusion: There is a need for increasing awareness among women regarding RTI/STIs and their sequelae. Targeted health education programmes should be necessary to improve health care seeking among women
Aggressive Fibromatosis in Neck.
Aggressive fibromatosis (AF) is a locally aggressive infiltrative low-grade benign tumor that accounts for approximately less than 3% of all soft tissue tumors. In the head and neck region this tumor tends to be more aggressive and associated with significant morbidity. Aggressive surgery is a viable management option and may be successfully used as a single modality treatment, or in combination with radiotherapy. We report a rare case of AF in a 38 year old female, who presented with a painless mass over the left supraclavicular fossa, extending inferiorly into the thoracic inlet, which was excised successfully in toto with the help of cardiothoracic vascular surgeon (CTVS)
Usual Tumor at an Unusual Site - A Leiomyoma Masquerading as a Urethral Polyp.
Polyps and papillomas encompass the most common benign tumors of the urethra.Leiomyoma of urethra is a rare clinical entity which can be diagnosed only with histopathological examination and only around 35 such cases have been reported worldwide
What is the maths differance
The paper presents a new framework for the maths development which is called maths differance. There are three typical maths differaence: prove, axiom and shift, and also some others
Rule Based Transliteration Scheme for English to Punjabi
Machine Transliteration has come out to be an emerging and a very important research area in the field of machine translation. Transliteration basically aims to preserve the phonological structure of words. Proper transliteration of name entities plays a very significant role in improving the quality of machine translation. In this paper we are doing machine transliteration for English-Punjabi language pair using rule based approach. We have constructed some rules for syllabification. Syllabification is the process to extract or separate the syllable from the words. In this we are calculating the probabilities for name entities (Proper names and location). For those words which do not come under the category of name entities, separate probabilities are being calculated by using relative frequency through a statistical machine translation toolkit known as MOSES. Using these probabilities we are transliterating our input text from English to Punjabi
Status of Growth Monitoring in Anganwadi Centres of a Primary Health Centre, Thirubhuvanai, Puducherry
Purpose: To assess the status of growth monitoring activities and difficulties faced by anganwadi workers (AWWs) at the anganwadi centres (AWCs). Methodology: A survey was conducted among AWWs under a rural Primary Health Centre. Structured observations on weight measurement were made using a check list. Secondary data on record keeping and maintenance was collected. Findings: Study participants (n=20) had a 24 (± 10.25) years of experience in Integrated Child Development Services and underwent training once in two years. For advising mothers of malnourished children, deworming and immunization was not mentioned by majority AWWs. In AWCs, children less than 6 month were weighed on bathroom scale and not by Salter’s scale. Unclothing the child before weighing was practiced by only 10% AWWs. Nonfunctional weighing machine was the major problem reported by AWWs. Conclusion: There were gaps in the growth monitoring activities in AWCs of a PHC, Thirubhuvanai which needs to be tackled
Metastatic Leiomyosarcoma of Small Intestine
This is the report of a case of primary leiomyosarcoma of the small intestine, an uncommon primary malignancy of the small intestine