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Lately, multi-label classification (MLC) problems have drawn a lot of attention in a wide range of fields including medical, web, and entertainment. The scale and the diversity of MLC problems is much larger than single-label classification problems. Especially we have to face all possible combinations of labels. To solve MLC problems more efficiently, we focus on three kinds of locality hidden in...
Recording of the activity of people working in an office or in a living room is important for several goals: to design an evacuation route, to measure the degree of ADL (Activity of Daily Living) of single-living elderly persons, and to analyze the working contents of people, and so on. Camera systems are available for these goals, but they are weak for the light condition change (not available at...
Multi-label classification has attracted many attentions in various fields, such as text categorization and semantic image annotation. Aiming to classify an instance into multiple labels, various multi-label classification methods have been proposed. However, the existing methods typically build models in the identical feature (sub)space for all labels, possibly inconsistent with real-world problems...
Visualization helps us to understand single-label and multi-label classification problems. In this paper, we show several standard techniques for simultaneous visualization of samples, features and multi-classes on the basis of linear regression and matrix factorization. The experiment with two real-life multi-label datasets showed that such techniques are effective to know how labels are correlated...
Multi-label classification (MLC), allowing instances to have multiple labels, has been received a surge of interests in recent years due to its wide range of applications such as image annotation and document tagging. One of simplest ways to solve MLC problems is label-power set method (LP) that regards all possible label subsets as classes. LP validates traditional multi-classification classifiers...
It is well known that taking wrong sitting posture all day long is harmful for health. However, quantifying the degree of collapse of posture is not so easy. Typically, checking the video of sitting state or examining the spinal curves in radiograph is made so far, but it needs a clinical specialist for diagnosis. In this paper, for attaining this goal more easily, we give a device usable in daily...
Nonnegative Tensor Factorization (NTF) has become a popular tool for extracting informative patterns from tensor data. However, NTF has high computational cost both in space and in time, mostly in iterative calculation of the gradient. In this paper, we consider variable selection to reduce the cost, assuming sparsity of the factor matrices. In fact, it is known that the factor matrices are often...
Low-cost sensor networks for multitarget tracking are increasingly becoming important equipment in many applications. A major problem is that these sensors usually provide only a binary response in each epoch, if a target is present or absent. Efficient approaches for realizing the location and tracking of multiple targets are needed. In this paper, we develop a soft tracking system using an infrared...
It is still not fully revealed how people convey and understand whispered speech without critical deterioration of intelligibility. Typical questions are how the height of sound is produced and how voiced consonants are produced without vibration of vocal folds. In this paper, we have investigated the deterioration of intelligibility of whispered speech and tried to reveal the mechanism to convey...
In some dynamic environments, the degree of importance of features for classification varies over time. For example, if we want to identify the kinds of birds in a forest, different groups of birds might sing in different time periods. Then we have to change the features to identify the kinds of a bird, e.g., frequency, depending on time of observation. This study deals with such a sequence of feature...
The characteristics of whispered speech are not well known. The most remarkable difference from ordinal speech is the pitch (the height of speech), since whispered speech has no fundamental frequency. In this study, we have tried to reveal the mechanism of producing pitch in whispered speech through an experiment in which a male and a female subjects uttered Japanese whispered vowels in a way so as...
Human age estimation based on facial images has many potential applications in practice. However, the current age estimation techniques are not matured. Most studies focus only on neutral faces, that is, expressionless faces. Several expressions such as happy expression, may help to improve the prediction accuracy. Recently, some works reported that expressions could badly impact on the accuracy....
We propose a novel frequent approximate pattern mining in which occurrences themselves are valuable regions to extract. Given a string s, our mining task is to enumerate its sub strings that locally optimally match many sub strings of s. We show an algorithm for this problem whose time and space complexities are O(n^3) for a string with length n. According to our experiments using synthetic data,...
The q-gram distance dq(x, y) between two strings x and y is a string similarity measure correlated with a famous string distance: the edit distance. In addition, it can be computed much faster, in linear (O(|x|+|y|)) time, than the edit distance in quadratic (O(|x||y|)) time, where | · | denotes the string length. However, it does not mean that we can find all substrings of a text t similar to a pattern...
For achieving efficient action recognition, some recent works propose to select a smaller number of frames in a video sequence instead of the entire sequence of frames. In this study, we propose to represent a frame by a combination of local and global descriptors instead of the silhouette used in our previous approach aiming at frame selection. Action recognition is then executed on the basis of...
A ceiling sensor system is reported in this study to recognize different activities of multiple persons in the home environment. The sensors output binary sequences by which we know the existence/nonexistence of persons under the sensors. A short-period average of the binary response is shown to be regarded as a pixel value of a top view camera, but the camera-like view is more advantage in the sense...
In this study, we introduce two methods for indoor localization of person by using an infrared ceiling sensor network, then the performances of them are compared. Through experiments we see that the nonlinear method for person localization obtains better performance. Based on the nonlinear person localization method, we recorded the Activities of Daily Living (ADLs) of a person successfully. By observing...
We discuss efficient construction and usefulness of greedy covers of positive instances by axis-parallel rectangles that exclude negative instances. A rectangle greedy cover is expected to be a simple classification rule with high readability because the number of its component rectangles is expected to be small and it can be seen as a disjunctive normal form, which is one of the most readable representations...
Decision rules in if-then form are highly readable and suitable for the situations in which users need to understand the rules intuitively. When we suppose the situation in which someone reads rules, a set of decision rules is desired to satisfy the following three conditions: 1) They can explain most of possible situations as a rule set, 2) The size of a rule set is small and thus memorable, 3) Description...
Fatigue is considered a contributing factor to accidents and illnesses at work. Hence, detecting fatigue by routinely monitoring an individual's person health is useful in preventing accidents and illnesses. There are many conventional methods for detecting fatigue; However, these methods require users to monitor the extent of their fatigue with gauges and instruments that can restrict users' actions...
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