The phrase "a soft assignment" is correct and usable in written English.
It can be used to describe a task or project that is not overly demanding or rigorous, often implying flexibility or leniency in expectations.
Example: "The professor gave us a soft assignment this week, allowing us to choose our own topics and deadlines."
Alternatives: "a light task" or "an easy assignment".
Then, a soft assignment method is applied to the gesture sequences to obtain a gesture representation.
For this reason, we have considered instead a more gradual representation, based on a soft assignment approach.
Since this method is a soft assignment of WPCs to classes, Figure 4 plots the certainty of the assignment to the most probable class.
Then, we use Hidden Markov Models (HMM) [31] in a soft assignment based approach (cf. Section 4.2) where each HMM observation consists of a projection on spatiotemporal words (e.g., the key-poses); thus we supposed that these HMM will manage gesture structuration and actions succession (e.g., transitions between HMM states).
Benson sees M at his most authoritarian in Dr. No, punishing Bond both in terms of stripping him of his gun and then sending him on what was considered at first to be a "soft" assignment.
In order to incorporate the uncertainty in assigning a home and work location to each user we consider a method of soft assignment by creating a 'location matrix' (mathbf {L}_{u}) for each user, which is given by: mathbf {L}_{u} = mathbf {h}_{u} mathbf {w}_{u}^{T}, where (mathbf {h}_{u}) and (mathbf {w}_{u}) are the normalized distributions of home and work tweet counts for user u respectively.
It quantifies class membership probability to each unlabeled sample by using a well-designed soft assignment technique.
In contrast, the GMM approach is more accurate, as it allows good likelihood ratio estimates while providing a finer feature space quantization through the soft assignment possibility.
During the learning process, Arboretum uses a soft probabilistic assignment of module membership allowing a gene to contribute to the mean expression profile of different modules.
The soft assignment method [34] is used to locate a feature vector among a set of prototypes.
This form of statistically consistent soft assignment of patients to groups has a variety of advantages, one of which is the increased robustness w.r.t.
